Triple

T13109419
Position Surface form Disambiguated ID Type / Status
Subject Escape from Planet Earth E310931 entity
Predicate musicBy P1952 FINISHED
Object Aaron Zigman E118675 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: Aaron Zigman | Statement: [Escape from Planet Earth, musicBy, Aaron Zigman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Zigman
Context triple: [Escape from Planet Earth, musicBy, Aaron Zigman]
  • A. Aaron Zigman chosen
    Aaron Zigman is an American composer and producer best known for his film scores on dramas and romantic films such as "The Notebook" and "John Q."
  • B. Scott Gilman
    Scott Gilman is a musician best known as a member of the British-American rock band Foreigner.
  • C. Sam Koppelman
    Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
  • D. Mitchell Hurwitz
    Mitchell Hurwitz is an American television writer and producer best known for creating the critically acclaimed sitcom "Arrested Development."
  • E. Lee Eisenberg
    Lee Eisenberg is an American television writer and producer best known for his work on series such as The Office and Hello Ladies.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817ce07881909ec552bf861ac175 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eadad81c8190881e6577e1c2a207 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:05 p.m.