Triple

T20142156
Position Surface form Disambiguated ID Type / Status
Subject Anne Yale E491200 entity
Predicate name P16 FINISHED
Object Anne Yale 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: Anne Yale | Statement: [Anne Yale, name, Anne Yale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Yale
Context triple: [Anne Yale, name, Anne Yale]
  • A. Anne Yale chosen
    Anne Yale was a daughter of Elihu Yale, the wealthy British-American merchant and philanthropist after whom Yale University is named.
  • B. Anne Yale
    Anne Yale was the wife of colonial leader and merchant Theophilus Eaton, associated with early New England settlement.
  • C. Elizabeth Vassall
    Elizabeth Vassall was a British-born Jamaican plantation heiress and later the second wife of statesman John Russell, 1st Earl Russell, placing her within the 19th-century British political and aristocratic elite.
  • D. Elizabeth Browne
    Elizabeth Browne was the wife of the pioneering English physician William Harvey, known for his discovery of the circulation of blood.
  • E. Elizabeth Browne
    Elizabeth Browne was a member of the Browne family, known primarily as the daughter of the English physician Lancelot Browne.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679bcf2c8190ac6e969178d8acde completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.