Triple

T5254936
Position Surface form Disambiguated ID Type / Status
Subject Aaron Zigman E118675 entity
Predicate workedOn P3 FINISHED
Object film "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: film "The Ugly Truth" | Statement: [Aaron Zigman, workedOn, film "The Ugly Truth"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: film "The Ugly Truth"
Context triple: [Aaron Zigman, workedOn, film "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. film "Glitter"
    "Glitter" is a 2001 musical drama film starring Mariah Carey as an aspiring singer navigating love and the music industry in 1980s New York.
  • C. film "Paulie"
    "Paulie" is a 1998 family comedy-drama film about a talking parrot who embarks on a cross-country journey to reunite with the little girl who raised him.
  • D. Hello Ladies: The Movie
    Hello Ladies: The Movie is a 2014 comedy film continuation of Stephen Merchant’s HBO series "Hello Ladies," following an awkward British web designer’s misadventures in Los Angeles dating culture.
  • E. Irma Vep
    Irma Vep is a French-American television miniseries that blends meta-cinema, crime, and dark comedy as it follows an actress remaking a classic silent-era vampire serial.
  • 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.