Triple
T3712779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Paxton |
E81453
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object |
Master Sergeant Farell in Edge of Tomorrow
Master Sergeant Farell in Edge of Tomorrow is a tough, sardonic U.S. Army NCO who oversees the misfit combat squad into which Tom Cruise’s character is thrust in the film’s alien-invasion time-loop scenario.
|
E382298
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Master Sergeant Farell in Edge of Tomorrow | Statement: [Bill Paxton, portrayedCharacter, Master Sergeant Farell in Edge of Tomorrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Master Sergeant Farell in Edge of Tomorrow Context triple: [Bill Paxton, portrayedCharacter, Master Sergeant Farell in Edge of Tomorrow]
-
A.
Rita Vrataski in Edge of Tomorrow
Rita Vrataski in Edge of Tomorrow is a legendary, battle-hardened soldier and war hero famed for her pivotal role in humanity’s fight against an alien invasion.
-
B.
Lieutenant Colonel Bill Kilgore
Lieutenant Colonel Bill Kilgore is a fictional, surf-obsessed and war-hardened U.S. Army officer in the film "Apocalypse Now," famous for the line "I love the smell of napalm in the morning."
-
C.
Colonel Reed in The Hurt Locker
Colonel Reed in The Hurt Locker is a high-ranking, battle-hardened U.S. Army officer who briefly appears in the film to underscore the intensity and psychological strain of the Iraq War bomb disposal setting.
-
D.
Commander Schultz
Commander Schultz is a sympathetic and conflicted military officer in Charlie Chaplin’s satirical film "The Great Dictator," who ultimately aids the film’s oppressed protagonists.
-
E.
Marshal Will Kane
Marshal Will Kane is the principled, embattled lawman at the center of the classic Western film "High Noon," known for facing a deadly showdown alone when his town abandons him.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Master Sergeant Farell in Edge of Tomorrow Triple: [Bill Paxton, portrayedCharacter, Master Sergeant Farell in Edge of Tomorrow]
Generated description
Master Sergeant Farell in Edge of Tomorrow is a tough, sardonic U.S. Army NCO who oversees the misfit combat squad into which Tom Cruise’s character is thrust in the film’s alien-invasion time-loop scenario.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Master Sergeant Farell in Edge of Tomorrow Target entity description: Master Sergeant Farell in Edge of Tomorrow is a tough, sardonic U.S. Army NCO who oversees the misfit combat squad into which Tom Cruise’s character is thrust in the film’s alien-invasion time-loop scenario.
-
A.
Rita Vrataski in Edge of Tomorrow
Rita Vrataski in Edge of Tomorrow is a legendary, battle-hardened soldier and war hero famed for her pivotal role in humanity’s fight against an alien invasion.
-
B.
Lieutenant Colonel Bill Kilgore
Lieutenant Colonel Bill Kilgore is a fictional, surf-obsessed and war-hardened U.S. Army officer in the film "Apocalypse Now," famous for the line "I love the smell of napalm in the morning."
-
C.
Colonel Reed in The Hurt Locker
Colonel Reed in The Hurt Locker is a high-ranking, battle-hardened U.S. Army officer who briefly appears in the film to underscore the intensity and psychological strain of the Iraq War bomb disposal setting.
-
D.
Commander Schultz
Commander Schultz is a sympathetic and conflicted military officer in Charlie Chaplin’s satirical film "The Great Dictator," who ultimately aids the film’s oppressed protagonists.
-
E.
Marshal Will Kane
Marshal Will Kane is the principled, embattled lawman at the center of the classic Western film "High Noon," known for facing a deadly showdown alone when his town abandons him.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9cbc5648190936f93868086167e |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce0834288190b16cf49477dc2ed9 |
completed | March 14, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69b4cfb49b748190a49435c46540f0c7 |
completed | March 14, 2026, 3:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4d06e34408190a0dc77b82e4fe308 |
completed | March 14, 2026, 3:05 a.m. |
Created at: March 8, 2026, 3:33 p.m.