Triple

T6537416
Position Surface form Disambiguated ID Type / Status
Subject Antonia Maury E168198 entity
Predicate relative P37 FINISHED
Object John William Draper E30791 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 William Draper | Statement: [Antonia Maury, relative, John William Draper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John William Draper
Context triple: [Antonia Maury, relative, John William Draper]
  • A. Edward Hodges Baily
    Edward Hodges Baily was a prominent 19th-century English sculptor best known for his neoclassical works and major public monuments in London.
  • B. George Peter Alexander Healy
    George Peter Alexander Healy was a prominent 19th-century American portrait painter renowned for his depictions of U.S. presidents and other notable political and cultural figures.
  • C. James Coblentz
    James Coblentz is a film editor best known for his work on movies such as the horror film "The People Under the Stairs."
  • D. Andrew Dickson
    Andrew Dickson is a British composer best known for his film scores, particularly his collaborations with director Mike Leigh.
  • E. John W. Draper chosen
    John W. Draper was a 19th-century American scientist, philosopher, and historian known for his pioneering work in photochemistry and early contributions to scientific institutions.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add33acc8190bb0a9531648198f2 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d53616848190835d9f02bd8e2dbf completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:49 p.m.