Triple

T7712285
Position Surface form Disambiguated ID Type / Status
Subject Nebraska E174787 entity
Predicate supportingActorRole P44204 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, supportingActorRole, Kate Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Grant
Context triple: [Nebraska, supportingActorRole, 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. 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."
  • D. 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.
  • E. Honey Ryder
    Honey Ryder is a fictional Bond girl and shell diver who becomes James Bond’s ally and love interest in the 1962 film "Dr. No."
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ae8b20819096930fe4be41b7be completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b505c7f88190ac058c1a27d758ca completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:04 p.m.