Triple
T13854542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell or High Water (2016 film) |
E333028
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tanner Howard
Tanner Howard is a reckless ex-con and devoted brother who masterminds a series of bank robberies in the neo-Western crime film "Hell or High Water."
|
E1066471
|
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: Tanner Howard | Statement: [Hell or High Water (2016 film), mainCharacter, Tanner Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanner Howard Context triple: [Hell or High Water (2016 film), mainCharacter, Tanner Howard]
-
A.
Holden McNeil
Holden McNeil is a comic book artist and the introspective, romantically conflicted protagonist of Kevin Smith’s film "Chasing Amy."
-
B.
Collin McKinney
Collin McKinney was an early Texas settler and statesman who helped draft and signed the Texas Declaration of Independence.
-
C.
Santiago Romo
Santiago Romo is a person notable enough to be recognized as a bearer of the surname Romo.
-
D.
Sam Bromell
Sam Bromell is a screenwriter best known for co-writing Baz Luhrmann’s 2022 biographical musical film "Elvis."
-
E.
J.T. Bates
J.T. Bates is an American drummer and percussionist known for his work in jazz, experimental, and indie music scenes.
- 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: Tanner Howard Triple: [Hell or High Water (2016 film), mainCharacter, Tanner Howard]
Generated description
Tanner Howard is a reckless ex-con and devoted brother who masterminds a series of bank robberies in the neo-Western crime film "Hell or High Water."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanner Howard Target entity description: Tanner Howard is a reckless ex-con and devoted brother who masterminds a series of bank robberies in the neo-Western crime film "Hell or High Water."
-
A.
Holden McNeil
Holden McNeil is a comic book artist and the introspective, romantically conflicted protagonist of Kevin Smith’s film "Chasing Amy."
-
B.
Collin McKinney
Collin McKinney was an early Texas settler and statesman who helped draft and signed the Texas Declaration of Independence.
-
C.
Santiago Romo
Santiago Romo is a person notable enough to be recognized as a bearer of the surname Romo.
-
D.
Sam Bromell
Sam Bromell is a screenwriter best known for co-writing Baz Luhrmann’s 2022 biographical musical film "Elvis."
-
E.
J.T. Bates
J.T. Bates is an American drummer and percussionist known for his work in jazz, experimental, and indie music scenes.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02db9c9c81909bb2d2fbfb7394b1 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f924808190856dd0116962eda7 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c1e73fb481909f89ab3c0e9fb7d0 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c33c2f34819084502d5f03f09ddd |
completed | May 3, 2026, 9:50 p.m. |
Created at: April 9, 2026, 10:14 p.m.