Triple

T14962603
Position Surface form Disambiguated ID Type / Status
Subject Rebel E373098 entity
Predicate executiveProducer P7225 FINISHED
Object John Davis E251894 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 Davis | Statement: [Rebel, executiveProducer, John Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Davis
Context triple: [Rebel, executiveProducer, John Davis]
  • A. John Davis chosen
    John Davis is a prominent American film and television producer known for founding Davis Entertainment and producing numerous major studio movies and series.
  • B. John Davis
    John Davis was the husband of Sarah Breedlove, better known as Madam C. J. Walker, the pioneering African American entrepreneur and philanthropist.
  • C. John Davis
    John Davis was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
  • D. John Davis
    John Davis was a 16th-century English navigator and explorer best known for his Arctic voyages in search of the Northwest Passage.
  • E. John Davis
    John Davis was a British special operations officer who served with the World War II clandestine unit Force 136, conducting covert missions in Japanese-occupied territories in Southeast Asia.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6d0487c8190b7754af8c5014b37 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ec12de8819097cd83530e54f54b completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 2:40 a.m.