Triple

T8084396
Position Surface form Disambiguated ID Type / Status
Subject The Notebook E188694 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: [The Notebook, musicBy, Aaron Zigman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Zigman
Context triple: [The Notebook, 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. Mitchell Hurwitz
    Mitchell Hurwitz is an American television writer and producer best known for creating the critically acclaimed sitcom "Arrested Development."
  • D. 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.
  • E. Sam Levenson
    Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415e61ac81909e924aea69a7ff77 completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63ff37a88190a980e023a9b7c30c completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:29 p.m.