Triple

T14959031
Position Surface form Disambiguated ID Type / Status
Subject Pam Dawber E373010 entity
Predicate notableWork P4 FINISHED
Object A Wedding E76746 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: A Wedding | Statement: [Pam Dawber, notableWork, A Wedding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Wedding
Context triple: [Pam Dawber, notableWork, A Wedding]
  • A. A Wedding chosen
    "A Wedding" is a 1978 ensemble comedy film directed by Robert Altman that satirically portrays the chaos and social dynamics surrounding an upper-class wedding.
  • B. The Wedding
    "The Wedding" is a romantic drama film featuring Cynda Williams in a prominent role, exploring themes of love, family, and commitment.
  • C. 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.
  • D. 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.
  • E. To the Wedding
    "To the Wedding" is a 1995 novel by John Berger that follows several characters converging on an Italian wedding while confronting love, loss, and the impact of AIDS.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cd85bc81909040b7ff78f62554 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968f25e08190bfbf7a3541f79add completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:40 a.m.