Triple

T5897540
Position Surface form Disambiguated ID Type / Status
Subject Kate Capshaw E131135 entity
Predicate child P120 FINISHED
Object Sasha 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: Sasha Spielberg | Statement: [Kate Capshaw, child, Sasha Spielberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasha Spielberg
Context triple: [Kate Capshaw, child, Sasha Spielberg]
  • A. Anne Spielberg
    Anne Spielberg is an American screenwriter best known for co-writing the hit 1988 fantasy-comedy film "Big."
  • B. 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.
  • C. Bud Yorkin
    Bud Yorkin was an American television producer and director best known for his influential work in 1970s sitcoms that helped redefine socially conscious TV comedy.
  • D. Joshua Donen
    Joshua Donen is an American film and television producer known for working on projects such as the Western film "The Quick and the Dead" and various high-profile genre productions.
  • E. Stephen Schiff
    Stephen Schiff is an American screenwriter and journalist known for his work on films such as "Wall Street: Money Never Sleeps" and for writing on acclaimed television series.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f65c1c819084cb90662af6e114 completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0076cd88190b10e51c52dcc6a2e completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:58 p.m.