Triple

T22828940
Position Surface form Disambiguated ID Type / Status
Subject Peter Pan (2003 film) E565743 entity
Predicate screenwriter P2831 FINISHED
Object Michael Goldenberg NE NERFINISHED

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: Michael Goldenberg | Statement: [Peter Pan (2003 film), screenwriter, Michael Goldenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Goldenberg
Context triple: [Peter Pan (2003 film), screenwriter, Michael Goldenberg]
  • A. Michael Goldenberg chosen
    Michael Goldenberg is an American screenwriter and playwright known for adapting major works such as the film version of "Harry Potter and the Order of the Phoenix."
  • B. Mark Goldenberg
    Mark Goldenberg is an American guitarist, songwriter, and composer known for his session work and film score contributions.
  • C. Martin Goldstein
    Martin Goldstein, nicknamed "Buggsy," was an American mobster and hitman associated with Murder, Inc. during the 1930s and 1940s.
  • D. Michael Goldstein
    Michael Goldstein is a relatively common personal name shared by multiple individuals across fields such as academia, business, and the arts, rather than referring to a single widely recognized public figure.
  • E. Michael Aronov
    Michael Aronov is an American actor known for his work in film, television, and theater, including a role in the historical drama "Operation Finale."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2a0e308190941064965346f890 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.