Triple

T9015605
Position Surface form Disambiguated ID Type / Status
Subject State of Play (2009 film) E215585 entity
Predicate editedBy P1954 FINISHED
Object Justine Wright E633734 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: Justine Wright | Statement: [State of Play (2009 film), editedBy, Justine Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Justine Wright
Context triple: [State of Play (2009 film), editedBy, Justine Wright]
  • A. Justine Wright chosen
    Justine Wright is a British film editor known for her work on acclaimed feature films, including the political drama "The Last King of Scotland."
  • B. Justine Wheeler
    Justine Wheeler is a South African-born artist and studio manager best known for her long-term professional and personal partnership with contemporary artist Jeff Koons.
  • C. Justine Waddell
    Justine Waddell is a South African-born British actress known for her roles in period dramas and independent films, including the fantasy film "The Fall" (2006).
  • D. Justine Cotsonas
    Justine Cotsonas is an American actress known for her work in television dramas and streaming series.
  • E. Justine Maurer
    Justine Maurer is an American costume designer best known for her long-term marriage to actor and comedian John Leguizamo.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fc0e4c819080b60456375f94cd completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017643df48190abdb672a3f85aef3 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:06 p.m.