Triple

T20517630
Position Surface form Disambiguated ID Type / Status
Subject Mr. Woodcock E503720 entity
Predicate editedBy P1954 FINISHED
Object Alan Baumgarten 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: Alan Baumgarten | Statement: [Mr. Woodcock, editedBy, Alan Baumgarten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Baumgarten
Context triple: [Mr. Woodcock, editedBy, Alan Baumgarten]
  • A. Alan Baumgarten chosen
    Alan Baumgarten is an American film editor known for his work on a variety of feature films and television projects.
  • B. Craig Baumgarten
    Craig Baumgarten is an American film producer known for working on action and drama movies, including mainstream Hollywood releases.
  • C. Alan Schaefer
    Alan Schaefer is the main special-forces commando protagonist, nicknamed "Dutch," portrayed by Arnold Schwarzenegger in the 1987 science fiction action film Predator.
  • D. Daniel Bluman
    Daniel Bluman is an Israeli-Colombian international show jumping rider known for competing at the highest levels of the sport, including the Olympics and major global tours.
  • E. Michael Feldman
    Michael Feldman is an American political and communications strategist best known as the husband of television journalist Savannah Guthrie.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f42db688190a3ccfba5601e8bf3 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.