Triple

T14130759
Position Surface form Disambiguated ID Type / Status
Subject Matt Charman E350157 entity
Predicate coWriterWith P7870 FINISHED
Object Steven Spielberg E11668 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: Steven Spielberg | Statement: [Matt Charman, coWriterWith, Steven Spielberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Spielberg
Context triple: [Matt Charman, coWriterWith, Steven Spielberg]
  • A. Steven Spielberg chosen
    Steven Spielberg is an acclaimed American film director, producer, and screenwriter known for shaping modern cinema with classics such as Jaws, E.T. the Extra-Terrestrial, Jurassic Park, and Schindler’s List.
  • B. Spielberg
    Spielberg is an Austrian town best known for hosting major motorsport events at the Red Bull Ring racing circuit.
  • C. Destry Allyn Spielberg
    Destry Allyn Spielberg is an American actress, model, and filmmaker, and the daughter of director Steven Spielberg and actress Kate Capshaw.
  • D. Robert Zemeckis
    Robert Zemeckis is an American filmmaker known for directing innovative and commercially successful movies such as the Back to the Future trilogy, Forrest Gump, and Who Framed Roger Rabbit.
  • E. Leslie Zemeckis
    Leslie Zemeckis is an American actress, author, and documentary filmmaker known for her work in film and her explorations of burlesque and classic Hollywood history.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610aa434819096671c5aabb9134a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf10e3948190b21968bc39094a8e completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:47 p.m.