Triple
T15918799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebraska (film) |
E386039
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Woody Grant |
E683632
|
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: Woody Grant | Statement: [Nebraska (film), mainCharacter, Woody Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woody Grant Context triple: [Nebraska (film), mainCharacter, Woody Grant]
-
A.
Woody Grant
chosen
Woody Grant is an aging, stubborn Midwestern man who embarks on a quixotic road trip to claim a dubious sweepstakes prize in the film "Nebraska."
-
B.
Woody Boyd
Woody Boyd is a naive yet lovable bartender from Indiana on the sitcom "Cheers," known for his good-natured personality and humorous, dim-witted charm.
-
C.
Oscar Fraley
Oscar Fraley was an American journalist and author best known for co-writing the book that inspired the television series and film "The Untouchables."
-
D.
Jimmy Wakely
Jimmy Wakely was an American country singer, songwriter, and film actor known as one of the most popular singing cowboys of the 1940s and 1950s.
-
E.
Wallace Woods
Wallace Woods is a historic residential neighborhood in Covington, Kentucky, known for its early 20th-century architecture and tree-lined streets.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1567ff9e48190b73cb101fc3f7b2b |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05d1fb481909b42bea774a15c70 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.