Triple
T18510060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Way Out |
E452314
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tom Farrell
Tom Farrell is the U.S. Navy officer protagonist of the political thriller film "No Way Out," who becomes entangled in a deadly web of conspiracy and cover-up in Washington, D.C.
|
E1328414
|
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: Tom Farrell | Statement: [No Way Out, mainCharacter, Tom Farrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Farrell Context triple: [No Way Out, mainCharacter, Tom Farrell]
-
A.
Tom Farrell
Tom Farrell is the central character of the British sitcom "Gimme Gimme Gimme," around whose chaotic and comedic life the series revolves.
-
B.
Tommy Farrell
Tommy Farrell was the son of American film and stage actress Glenda Farrell.
-
C.
Tommy Farrell
Tommy Farrell is a relative of Irish actor Colin Farrell, known primarily in connection with the acclaimed film star's family.
-
D.
Johnny Farrell
Johnny Farrell is a small-time gambler who becomes entangled in a dangerous love triangle and criminal intrigue in the classic 1946 film noir "Gilda."
-
E.
Turk Farrell
Turk Farrell was an American Major League Baseball pitcher known for his effective relief work and All-Star performances during the 1950s and 1960s.
- 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: Tom Farrell Triple: [No Way Out, mainCharacter, Tom Farrell]
Generated description
Tom Farrell is the U.S. Navy officer protagonist of the political thriller film "No Way Out," who becomes entangled in a deadly web of conspiracy and cover-up in Washington, D.C.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Farrell Target entity description: Tom Farrell is the U.S. Navy officer protagonist of the political thriller film "No Way Out," who becomes entangled in a deadly web of conspiracy and cover-up in Washington, D.C.
-
A.
Tom Farrell
Tom Farrell is the central character of the British sitcom "Gimme Gimme Gimme," around whose chaotic and comedic life the series revolves.
-
B.
Tommy Farrell
Tommy Farrell was the son of American film and stage actress Glenda Farrell.
-
C.
Tommy Farrell
Tommy Farrell is a relative of Irish actor Colin Farrell, known primarily in connection with the acclaimed film star's family.
-
D.
Johnny Farrell
Johnny Farrell is a small-time gambler who becomes entangled in a dangerous love triangle and criminal intrigue in the classic 1946 film noir "Gilda."
-
E.
Turk Farrell
Turk Farrell was an American Major League Baseball pitcher known for his effective relief work and All-Star performances during the 1950s and 1960s.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533457e608190988304bf8bc2db1c |
completed | April 19, 2026, 7:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a047148cac48190885f66f87274905d |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a048626a0a48190956a51f755f790cd |
completed | May 13, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0489f4a1d081909a274bf3679c70a6 |
completed | May 13, 2026, 2:25 p.m. |
Created at: April 10, 2026, 11:36 a.m.