Triple
T13854541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell or High Water (2016 film) |
E333028
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Toby Howard |
E1067284
|
NE FINISHED |
How this triple was built (2 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: Toby Howard | Statement: [Hell or High Water (2016 film), mainCharacter, Toby Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toby Howard Context triple: [Hell or High Water (2016 film), mainCharacter, Toby Howard]
-
A.
Toby Howard
chosen
Toby Howard is the desperate yet principled West Texas father and bank robber at the center of the neo-Western crime film "Hell or High Water."
-
B.
Toby Gard
Toby Gard is a British video game designer best known for creating the iconic Tomb Raider heroine Lara Croft.
-
C.
Jon Shafer
Jon Shafer is a video game designer best known as the lead designer of Sid Meier’s Civilization V.
-
D.
Martin Hector
Martin Hector was a prominent local businessman and civic leader from Fargo, North Dakota, best known for his contributions to the city that led to its main airport being named in his honor.
-
E.
Richard Devine
Richard Devine is an American electronic musician and sound designer known for his complex, experimental compositions and work in film, games, and technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f7ce6c0c3c8190911b56b20c9eb955 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:14 p.m.