Triple
T1180698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taxi Driver |
E25129
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Travis Bickle
Travis Bickle is the mentally unstable, alienated Vietnam War veteran who becomes a vigilante in Martin Scorsese’s film "Taxi Driver."
|
E134596
|
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 Bickle | Statement: [Taxi Driver, featuresCharacter, Travis Bickle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travis Bickle Context triple: [Taxi Driver, featuresCharacter, Travis Bickle]
-
A.
Will McAvoy
Will McAvoy is the outspoken, idealistic cable news anchor at the center of Aaron Sorkin’s television series "The Newsroom."
-
B.
Henry Hill
Henry Hill is a historically significant rise within Manassas National Battlefield Park that served as a key position during the First Battle of Bull Run in the American Civil War.
-
C.
Frank Lucas
Frank Lucas was a notorious Harlem drug kingpin in the late 1960s and early 1970s, known for building a heroin empire and later becoming a key government informant.
-
D.
Pat Solitano
Pat Solitano is the emotionally volatile, bipolar former teacher struggling to rebuild his life and relationships in the film "Silver Linings Playbook."
-
E.
John McClain
John McClain was a screenwriter active in classic Hollywood cinema, known for his work on mid-20th-century American films.
- 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 Bickle Triple: [Taxi Driver, featuresCharacter, Travis Bickle]
Generated description
Travis Bickle is the mentally unstable, alienated Vietnam War veteran who becomes a vigilante in Martin Scorsese’s film "Taxi Driver."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Travis Bickle Target entity description: Travis Bickle is the mentally unstable, alienated Vietnam War veteran who becomes a vigilante in Martin Scorsese’s film "Taxi Driver."
-
A.
Will McAvoy
Will McAvoy is the outspoken, idealistic cable news anchor at the center of Aaron Sorkin’s television series "The Newsroom."
-
B.
Henry Hill
Henry Hill is a historically significant rise within Manassas National Battlefield Park that served as a key position during the First Battle of Bull Run in the American Civil War.
-
C.
Frank Lucas
Frank Lucas was a notorious Harlem drug kingpin in the late 1960s and early 1970s, known for building a heroin empire and later becoming a key government informant.
-
D.
Pat Solitano
Pat Solitano is the emotionally volatile, bipolar former teacher struggling to rebuild his life and relationships in the film "Silver Linings Playbook."
-
E.
John McClain
John McClain was a screenwriter active in classic Hollywood cinema, known for his work on mid-20th-century American films.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd32c5f48190b4e2d39fa052cbb7 |
completed | March 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f1f1c188190a96f5718c4e7d59d |
completed | March 7, 2026, 6:31 p.m. |
| NEDg | Description generation | batch_69ac6f9c0da48190b8d5615ba582366c |
completed | March 7, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac7009b52c8190a6f6962cf60de92d |
completed | March 7, 2026, 6:35 p.m. |
Created at: March 1, 2026, 7:45 p.m.