Triple

T4626476
Position Surface form Disambiguated ID Type / Status
Subject In the Mix E101109 entity
Predicate producer P490 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: [In the Mix, producer, John Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Davis
Context triple: [In the Mix, producer, John Davis]
  • A. John Davis
    John Davis was a 16th-century English navigator and explorer best known for his Arctic voyages in search of the Northwest Passage.
  • B. 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.
  • C. William A. H. Loveland
    William A. H. Loveland was a 19th-century American railroad executive and civic leader whose influence on regional development led to the Colorado city of Loveland bearing his name.
  • D. John P. Davis
    John P. Davis was an African American editor, lawyer, and civil rights activist known for his role in early 20th-century Black radical and intellectual movements.
  • E. William Rogers
    William Rogers is a common personal name shared by numerous individuals across history, including politicians, educators, and public figures.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0a7b588190bc6552ee5babb198 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f8f61b08190ad8913c633369c50 completed March 21, 2026, 10:14 a.m.
Created at: March 20, 2026, 1:13 p.m.