Triple

T1042065
Position Surface form Disambiguated ID Type / Status
Subject Animal Kingdom E22489 entity
Predicate executiveProducer P7225 FINISHED
Object John Wells E27379 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: John Wells | Statement: [Animal Kingdom, executiveProducer, John Wells]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Wells
Context triple: [Animal Kingdom, executiveProducer, John Wells]
  • A. John Wells chosen
    John Wells is an American television producer, writer, and director best known for overseeing acclaimed series such as ER and The West Wing.
  • B. John Spencer
    John Spencer was an American actor best known for his Emmy-winning role as White House Chief of Staff Leo McGarry on the television drama "The West Wing."
  • C. Tully Friedman
    Tully Friedman is an American financier and private equity investor best known as the co-founder of the investment firm Hellman & Friedman.
  • D. John Ferrell
    John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
  • E. Oliver Platt
    Oliver Platt is a Canadian-born American character actor known for his versatile performances in film, television, and theater, often portraying witty, urbane, or morally complex supporting roles.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82f6c14819080277443ea4722dd completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc768948190b1cda4eea93fe4b6 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:42 p.m.