Triple
T9913525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Gunfight |
E185805
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Will Tenneray
Will Tenneray is a central gunslinger protagonist in the Western film "A Gunfight," known for his role in a high-stakes duel.
|
E829436
|
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: Will Tenneray | Statement: [A Gunfight, hasMainCharacter, Will Tenneray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Tenneray Context triple: [A Gunfight, hasMainCharacter, Will Tenneray]
-
A.
Treveris
Treveris is the historical city now known as Trier, one of the oldest cities in Germany and a major center of the Roman Empire in the region.
-
B.
Tony Tanti
Tony Tanti is a former Canadian professional ice hockey forward best known for his high-scoring NHL career in the 1980s, particularly with the Vancouver Canucks.
-
C.
Rennie
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
-
D.
Troy Taylor
Troy Taylor is an American R&B record producer and songwriter known for his work with artists such as Trey Songz and Whitney Houston.
-
E.
Tom Tully
Tom Tully was an American character actor known for his prolific work in mid-20th-century film and television, often portraying gruff but sympathetic authority figures.
- 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: Will Tenneray Triple: [A Gunfight, hasMainCharacter, Will Tenneray]
Generated description
Will Tenneray is a central gunslinger protagonist in the Western film "A Gunfight," known for his role in a high-stakes duel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Tenneray Target entity description: Will Tenneray is a central gunslinger protagonist in the Western film "A Gunfight," known for his role in a high-stakes duel.
-
A.
Treveris
Treveris is the historical city now known as Trier, one of the oldest cities in Germany and a major center of the Roman Empire in the region.
-
B.
Tony Tanti
Tony Tanti is a former Canadian professional ice hockey forward best known for his high-scoring NHL career in the 1980s, particularly with the Vancouver Canucks.
-
C.
Rennie
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
-
D.
Troy Taylor
Troy Taylor is an American R&B record producer and songwriter known for his work with artists such as Trey Songz and Whitney Houston.
-
E.
Tom Tully
Tom Tully was an American character actor known for his prolific work in mid-20th-century film and television, often portraying gruff but sympathetic authority figures.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53a300481909d917e487d8aab56 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dcbf28c8190aa9f6a8be423670a |
completed | April 5, 2026, 7:22 a.m. |
| NEDg | Description generation | batch_69d20ef343a4819093b915a66c63fbaa |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d212d0ed108190bbde23439734618a |
completed | April 5, 2026, 7:44 a.m. |
Created at: March 30, 2026, 8:41 p.m.