Triple

T5254916
Position Surface form Disambiguated ID Type / Status
Subject Aaron Zigman E118675 entity
Predicate notableWork P4 FINISHED
Object The Ugly Truth E379700 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 Ugly Truth | Statement: [Aaron Zigman, notableWork, The Ugly Truth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ugly Truth
Context triple: [Aaron Zigman, notableWork, The Ugly Truth]
  • A. The Ugly Truth chosen
    The Ugly Truth is a 2009 romantic comedy film starring Katherine Heigl and Gerard Butler that explores the clash between idealistic romance and blunt relationship advice.
  • B. The Naked Truth
    The Naked Truth is Lil' Kim's critically acclaimed 2005 studio album known for its hardcore hip-hop sound and bold, unapologetic lyrics.
  • C. Whole Truth
    Whole Truth is a Christian gospel music group known for its spiritually focused songs and worship-centered recordings.
  • D. The Whole Truth
    The Whole Truth is the official religious magazine of the Church of God in Christ, featuring doctrinal teachings, church news, and inspirational content for its members.
  • E. The Simple Truth
    The Simple Truth is a legal thriller novel by David Baldacci that weaves together political intrigue, courtroom drama, and a decades-old murder case.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba2f5d08190850529659901ae0f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7708108190ac772f7b2d5ab02a completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.