Triple

T11394343
Position Surface form Disambiguated ID Type / Status
Subject Lady in the Dark (1944 film) E269927 entity
Predicate character P662 FINISHED
Object Kendall Nesbitt E278534 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: Kendall Nesbitt | Statement: [Lady in the Dark (1944 film), character, Kendall Nesbitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kendall Nesbitt
Context triple: [Lady in the Dark (1944 film), character, Kendall Nesbitt]
  • A. Kendall Nesbitt chosen
    Kendall Nesbitt is a fictional character from the musical "Lady in the Dark," typically portrayed as a sophisticated romantic interest entangled in the protagonist's emotional and psychological journey.
  • B. Kendall Taylor
    Kendall Taylor is an American businessman best known as the husband of singer and "American Idol" winner Fantasia Barrino.
  • C. Kendall Duncan
    Kendall Duncan is a character appearing in the fantasy-comedy film "Bedtime Stories."
  • D. Kendall Knight
    Kendall Knight is the ambitious and level-headed lead singer of the boy band in the Nickelodeon TV series "Big Time Rush."
  • E. Kendall Gill
    Kendall Gill is a former American professional basketball player best known for his NBA career as a high-scoring guard and strong defender in the 1990s.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80018a58c81908b80dc9abd18d650 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e713122ef8819086c8d7e37c00a1c2 completed April 21, 2026, 6:02 a.m.
Created at: April 8, 2026, 9:34 p.m.