Triple

T16518342
Position Surface form Disambiguated ID Type / Status
Subject Steve Faber E401244 entity
Predicate coWrote P7732 FINISHED
Object Wedding Crashers E92271 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: Wedding Crashers | Statement: [Steve Faber, coWrote, Wedding Crashers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wedding Crashers
Context triple: [Steve Faber, coWrote, Wedding Crashers]
  • A. Wedding Crashers chosen
    Wedding Crashers is a 2005 American comedy film about two divorce mediators who crash weddings to meet women, starring Owen Wilson and Vince Vaughn.
  • B. American Wedding
    American Wedding is a 2003 American comedy film, the third installment in the American Pie series, following the characters as they navigate the chaos surrounding Jim and Michelle’s wedding.
  • C. The Hangover
    The Hangover is a 2009 comedy film about a group of friends who must retrace their steps after a wild, forgotten bachelor party in Las Vegas to find their missing groom.
  • D. The Hangover
    The Hangover is a song by American rapper Obie Trice, known for its hard-hitting lyrics and gritty, confessional style.
  • E. Bridesmaids
    Bridesmaids is a 2011 American comedy film known for its ensemble female cast, raunchy humor, and critical and commercial success that helped redefine modern women-led comedies.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7da2248190a540a5ef8686963d completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed6627081909dae6b4259a5609c completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:14 a.m.