Triple

T20517608
Position Surface form Disambiguated ID Type / Status
Subject Mr. Woodcock E503720 entity
Predicate director P255 FINISHED
Object David Dobkin 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: David Dobkin | Statement: [Mr. Woodcock, director, David Dobkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Dobkin
Context triple: [Mr. Woodcock, director, David Dobkin]
  • A. David Dobkin chosen
    David Dobkin is an American film director and producer best known for his work on hit comedies such as "Wedding Crashers."
  • B. Barry Levinson
    Barry Levinson is an American filmmaker and screenwriter best known for directing acclaimed films such as "Rain Man," "Diner," and "Good Morning, Vietnam."
  • C. Michael Ritchie
    Michael Ritchie was an American film director known for his sharp, often satirical takes on American culture in movies such as "The Candidate," "Smile," and various sports comedies.
  • D. Woody Platt
    Woody Platt is an American bluegrass musician best known as a founding member, guitarist, and lead vocalist of the Grammy-winning band Steep Canyon Rangers.
  • E. Lawrence Dobkin
    Lawrence Dobkin was an American character actor, director, and narrator known for his prolific work in film, television, and radio from the 1940s through the 1980s.
  • 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.