Triple

T23374224
Position Surface form Disambiguated ID Type / Status
Subject Lynn Whitfield E593560 entity
Predicate notableWork P4 FINISHED
Object The Wedding E878481 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: The Wedding | Statement: [Lynn Whitfield, notableWork, The Wedding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Wedding
Context triple: [Lynn Whitfield, notableWork, The Wedding]
  • A. The Wedding
    "The Wedding" is a 2000 Russian comedy-drama film directed by Pavel Lungin that portrays the chaotic and humorous events surrounding a provincial wedding.
  • B. The Wedding
    "The Wedding" is a Caroline-era stage comedy by English dramatist James Shirley, known for its witty exploration of courtship, marriage, and social manners.
  • C. The Wedding chosen
    "The Wedding" is a romantic drama film featuring Cynda Williams in a prominent role, exploring themes of love, family, and commitment.
  • D. The Wedding
    "The Wedding" is the concluding installment of the romantic comedy series "Him & Her," centering on the chaotic and heartfelt events surrounding the main couple’s long-awaited marriage.
  • E. The Wedding
    "The Wedding" is a novel by American author Oneida that explores complex relationships and social dynamics surrounding marriage.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b1d24881909945936cbf00876e completed April 29, 2026, 6:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5ddfbbf0819098166b60f5e5e62e completed May 19, 2026, 12:55 p.m.
Created at: April 17, 2026, 5:33 p.m.