Triple

T15776328
Position Surface form Disambiguated ID Type / Status
Subject Michael D. Coe E382500 entity
Predicate spouse P13 FINISHED
Object Sophie D. Coe E1175717 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: Sophie D. Coe | Statement: [Michael D. Coe, spouse, Sophie D. Coe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophie D. Coe
Context triple: [Michael D. Coe, spouse, Sophie D. Coe]
  • A. Sophie D. Coe chosen
    Sophie D. Coe was a food historian and anthropologist known for her influential work on the history of chocolate and Mesoamerican cuisine.
  • B. Alice Elliott Dark
    Alice Elliott Dark is an American writer best known for her acclaimed short stories and novels that explore complex emotional and familial relationships.
  • C. Susan Frowde
    Susan Frowde was the wife of British Royal Navy officer and celebrated Napoleonic Wars admiral Edward Pellew, 1st Viscount Exmouth.
  • D. Martha Etpison
    Martha Etpison is a Palauan cultural advocate and former First Lady of Palau known for her efforts to preserve and promote Palauan history and heritage.
  • E. Elizabeth Dowdeswell
    Elizabeth Dowdeswell is a Canadian public servant and former Under-Secretary-General of the United Nations who has served as the 29th Lieutenant Governor of Ontario.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05199cd8881909462462cec34d35a completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909b467c819097ee87f51d2001da completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:47 a.m.