Triple

T9660911
Position Surface form Disambiguated ID Type / Status
Subject The Spiderwick Chronicles (2008 film) E233586 entity
Predicate screenwriter P2831 FINISHED
Object David Berenbaum E292624 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: David Berenbaum | Statement: [The Spiderwick Chronicles (2008 film), screenwriter, David Berenbaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Berenbaum
Context triple: [The Spiderwick Chronicles (2008 film), screenwriter, David Berenbaum]
  • A. David Berenbaum chosen
    David Berenbaum is an American screenwriter best known for writing the popular Christmas comedy film "Elf."
  • B. Paul Bernbaum
    Paul Bernbaum is an American screenwriter best known for writing the Disney Channel fantasy film "Halloweentown."
  • C. Charles Bornstein
    Charles Bornstein is a film editor best known for his work on genre films such as John Carpenter’s horror movie "The Fog."
  • D. Michael Berenbaum
    Michael Berenbaum is an American film and television editor known for his work on numerous popular comedies and dramas.
  • E. Jonathan Bornstein
    Jonathan Bornstein is an American soccer player and defender best known for his long career in Major League Soccer and appearances with the United States men's national team.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0a15e4819092ea0fb2cb6e1c12 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a0ff7548190ae438c4a334058ac completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:14 p.m.