Triple

T9789235
Position Surface form Disambiguated ID Type / Status
Subject The Wedding Date E237565 entity
Predicate screenwriter P2831 FINISHED
Object Dana Fox E586615 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: Dana Fox | Statement: [The Wedding Date, screenwriter, Dana Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana Fox
Context triple: [The Wedding Date, screenwriter, Dana Fox]
  • A. Dana Fox chosen
    Dana Fox is an American screenwriter and producer known for her work on romantic comedies and major studio films, including co-writing Disney’s live-action film "Cruella."
  • B. David Fox
    David Fox is a game designer and programmer best known for his work at Lucasfilm Games (later LucasArts), including co-creating the influential adventure game Maniac Mansion.
  • C. Jon Peters
    Jon Peters is an American film producer known for his work on major Hollywood blockbusters such as "Batman" (1989) and for his high-profile presence in the entertainment industry.
  • D. Rob Morrow
    Rob Morrow is an American actor best known for his roles in the television series "Northern Exposure" and "Numb3rs."
  • E. Terry Kinney
    Terry Kinney is an American actor and director best known as a co-founder of Chicago’s Steppenwolf Theatre Company and for his work in film and television, including the series "Oz."
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c42c9fe081908145911cad6723c2 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.