Triple

T23484597
Position Surface form Disambiguated ID Type / Status
Subject William Calley E570498 entity
Predicate familyName P18 FINISHED
Object Calley 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: Calley | Statement: [William Calley, familyName, Calley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calley
Context triple: [William Calley, familyName, Calley]
  • A. Calley chosen
    Calley is a surname most notably associated with William Calley, the former U.S. Army officer convicted for his role in the My Lai Massacre during the Vietnam War.
  • B. Keally
    Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
  • C. Cally
    Cally is a key telepathic freedom fighter and member of the rebel crew in the British science fiction television series "Blake's 7."
  • D. Keeley
    Keeley is a feminine given name of English origin, often used both as a first name and surname.
  • E. Keely
    Keely is a surname most notably associated with Patrick Charles Keely, a prominent 19th-century Irish-American architect known for designing numerous Roman Catholic churches 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a752c678819087e5c50b8cf87d3d completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.