Triple

T14730523
Position Surface form Disambiguated ID Type / Status
Subject Adventures in Babysitting E346058 entity
Predicate screenwriter P2831 FINISHED
Object David Simkins E387882 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 Simkins | Statement: [Adventures in Babysitting, screenwriter, David Simkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Simkins
Context triple: [Adventures in Babysitting, screenwriter, David Simkins]
  • A. David Simkins chosen
    David Simkins is a television writer and producer known for his work on genre and drama series, including serving as an executive producer on The Lizzie Borden Chronicles.
  • B. David Sims
    David Sims is a British fashion photographer renowned for his influential work in high-end editorial and advertising campaigns.
  • C. David Simpson
    David Simpson is an American painter associated with the San Francisco art scene, known for his abstract and color field works.
  • D. Alexander Sims
    Alexander Sims is a British professional racing driver known for competing in series such as Formula E and sports car racing events like the FIA World Endurance Championship.
  • E. Simon J. Smith
    Simon J. Smith is a British film director and animator best known for his work on major animated features such as Bee Movie and the Kung Fu Panda franchise.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26311c8819093a81ff0fa43b33b completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e79997c8190bb6f158d50603066 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:29 a.m.