Triple

T9279862
Position Surface form Disambiguated ID Type / Status
Subject Brian Baumgartner E223039 entity
Predicate appearedIn P795 FINISHED
Object License to Wed E126619 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: License to Wed | Statement: [Brian Baumgartner, appearedIn, License to Wed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: License to Wed
Context triple: [Brian Baumgartner, appearedIn, License to Wed]
  • A. License to Wed chosen
    License to Wed is a 2007 romantic comedy film in which a young couple’s plans to marry are complicated by an eccentric minister’s demanding pre-marital course.
  • 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. A Wedding
    "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.
  • D. Rachel Getting Married
    Rachel Getting Married is a 2008 drama film directed by Jonathan Demme that follows a young woman in rehab who returns home for her sister’s wedding, featuring a critically acclaimed performance by Anne Hathaway.
  • E. Easy to Wed
    Easy to Wed is a 1946 Technicolor musical comedy film best known for starring Esther Williams alongside Van Johnson, Lucille Ball, and Keenan Wynn.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cc79508190954defbef0d82a64 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c4f254c819083301449c3e4b11d completed April 4, 2026, 5:06 a.m.
Created at: March 30, 2026, 7:34 p.m.