Triple
T20338563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Jeopardy |
E495679
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Travis Lehman
Travis Lehman is a determined parole officer in the 1999 thriller film "Double Jeopardy" who becomes entangled in the protagonist's quest to uncover the truth and seek justice.
|
E1424463
|
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: Travis Lehman | Statement: [Double Jeopardy, character, Travis Lehman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travis Lehman Context triple: [Double Jeopardy, character, Travis Lehman]
-
A.
Travis Harrison
Travis Harrison is a music producer known for his work on the band Lifer’s recordings.
-
B.
Travis Champagne
Travis Champagne is an actor known for his role in the 2006 film adaptation of "All the King's Men."
-
C.
Travis Braun
Travis Braun is a television writer and producer best known for creating the animated children's series T.O.T.S. for Disney Junior.
-
D.
Trevor Williams
Trevor Williams is a video game developer best known as one of the founders of the British game studio Playground Games, recognized for the Forza Horizon series.
-
E.
Trevor Williams
Trevor Williams is a creative professional best known as the founder of Swordfish Studios.
- 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: Travis Lehman Triple: [Double Jeopardy, character, Travis Lehman]
Generated description
Travis Lehman is a determined parole officer in the 1999 thriller film "Double Jeopardy" who becomes entangled in the protagonist's quest to uncover the truth and seek justice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Travis Lehman Target entity description: Travis Lehman is a determined parole officer in the 1999 thriller film "Double Jeopardy" who becomes entangled in the protagonist's quest to uncover the truth and seek justice.
-
A.
Travis Harrison
Travis Harrison is a music producer known for his work on the band Lifer’s recordings.
-
B.
Travis Champagne
Travis Champagne is an actor known for his role in the 2006 film adaptation of "All the King's Men."
-
C.
Travis Braun
Travis Braun is a television writer and producer best known for creating the animated children's series T.O.T.S. for Disney Junior.
-
D.
Trevor Williams
Trevor Williams is a video game developer best known as one of the founders of the British game studio Playground Games, recognized for the Forza Horizon series.
-
E.
Trevor Williams
Trevor Williams is a creative professional best known as the founder of Swordfish Studios.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678332bd08190a83880fb6aa32e08 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08695a90fc81908ab2c0e24a96de07 |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0869a83ac48190ae1137700c78cfc1 |
completed | May 16, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a0aaee08190a0bce73f017fe491 |
completed | May 16, 2026, 12:58 p.m. |
Created at: April 16, 2026, 11:23 a.m.