Triple

T11307739
Position Surface form Disambiguated ID Type / Status
Subject Sugar E267757 entity
Predicate musicVideoDirector P4911 FINISHED
Object David Dobkin E407135 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 Dobkin | Statement: [Sugar, musicVideoDirector, David Dobkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Dobkin
Context triple: [Sugar, musicVideoDirector, 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. Sydney Pollack
    Sydney Pollack was an American film director, producer, and actor known for acclaimed movies such as "Out of Africa," "Tootsie," and "The Firm."
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9bf87d88190904c2d174578ebbf completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a62ceec8190af25edf44c5fc1e9 completed April 19, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:32 p.m.