Triple
T15918801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebraska (film) |
E386039
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Kate Grant |
E683634
|
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: Kate Grant | Statement: [Nebraska (film), mainCharacter, Kate Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Grant Context triple: [Nebraska (film), mainCharacter, Kate Grant]
-
A.
Kate Grant
chosen
Kate Grant is a central character in the film "Nebraska," portrayed as the sharp-tongued, pragmatic wife of the aging protagonist.
-
B.
Vivian Rutledge
Vivian Rutledge is a sharp-witted, enigmatic socialite and femme fatale portrayed by Lauren Bacall in the classic film noir "The Big Sleep" (1946).
-
C.
Kate Harper
Kate Harper is a fictional Deputy National Security Advisor known for her sharp intelligence and strategic expertise on the television drama "The West Wing."
-
D.
June Blair
June Blair was an American actress and model best known for her role on the television series "The Adventures of Ozzie and Harriet."
-
E.
Carrie Mathison
Carrie Mathison is a brilliant but mentally unstable CIA officer and the central protagonist of the television series "Homeland," known for her obsessive dedication to preventing terrorist attacks.
- 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.