Triple

T23159421
Position Surface form Disambiguated ID Type / Status
Subject Edward Binns E578539 entity
Predicate name P16 FINISHED
Object Edward Binns NE NERFINISHED

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: Edward Binns | Statement: [Edward Binns, name, Edward Binns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Binns
Context triple: [Edward Binns, name, Edward Binns]
  • A. Edward Binns chosen
    Edward Binns was an American character actor known for his prolific work in mid-20th-century film, television, and theater, often portraying authoritative or hard-edged supporting roles.
  • B. Edward Linn
    Edward Linn was an American writer and journalist best known for co-authoring notable memoirs, including the bank-robbery autobiography "Where the Money Was."
  • C. Charles Hinshaw
    Charles Hinshaw is a writer best known for his work on the film "Needed Me."
  • D. Henry Binns
    Henry Binns is a British musician and producer best known as one half of the downtempo electronic duo Zero 7.
  • E. Edward Mangum
    Edward Mangum was a theater professional best known as a co-founder of Arena Stage, one of the pioneering regional theaters in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18eff965081909aaa6fc1910293e2 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.