Triple

T6904015
Position Surface form Disambiguated ID Type / Status
Subject Theophilus Eaton E159561 entity
Predicate spouse P13 FINISHED
Object Anne Yale
Anne Yale was the wife of colonial leader and merchant Theophilus Eaton, associated with early New England settlement.
 E626590 NE FINISHED

How this triple was built (4 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: [Theophilus Eaton, spouse, Anne Yale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anne Yale
Context triple: [Theophilus Eaton, spouse, Anne Yale]
  • A. Anne Yale
    Anne Yale was a daughter of Elihu Yale, the wealthy British-American merchant and philanthropist after whom Yale University is named.
  • B. Elizabeth Browne
    Elizabeth Browne was the wife of the pioneering English physician William Harvey, known for his discovery of the circulation of blood.
  • C. Elizabeth Browne
    Elizabeth Browne was the wife of Robert Rogers, the famed 18th-century American frontiersman and leader of Rogers' Rangers.
  • D. Margaret Best Royall
    Margaret Best Royall was the wife of Kenneth C. Royall, a prominent American lawyer, U.S. Secretary of War, and the last U.S. Secretary of the Army.
  • E. Elizabeth Cabot
    Elizabeth Cabot is the namesake of the Elizabeth and John Moors Cabot Directorship at the Harvard Art Museums, reflecting her significant association with and support for the institution.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anne Yale
Triple: [Theophilus Eaton, spouse, Anne Yale]
Generated description
Anne Yale was the wife of colonial leader and merchant Theophilus Eaton, associated with early New England settlement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anne Yale
Target entity description: Anne Yale was the wife of colonial leader and merchant Theophilus Eaton, associated with early New England settlement.
  • A. Anne Yale
    Anne Yale was a daughter of Elihu Yale, the wealthy British-American merchant and philanthropist after whom Yale University is named.
  • B. Elizabeth Browne
    Elizabeth Browne was the wife of the pioneering English physician William Harvey, known for his discovery of the circulation of blood.
  • C. Elizabeth Browne
    Elizabeth Browne was the wife of Robert Rogers, the famed 18th-century American frontiersman and leader of Rogers' Rangers.
  • D. Margaret Best Royall
    Margaret Best Royall was the wife of Kenneth C. Royall, a prominent American lawyer, U.S. Secretary of War, and the last U.S. Secretary of the Army.
  • E. Elizabeth Cabot
    Elizabeth Cabot is the namesake of the Elizabeth and John Moors Cabot Directorship at the Harvard Art Museums, reflecting her significant association with and support for the institution.
  • F. None of above. chosen

Provenance (5 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d989c13081908a2e346cde9e3a50 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748f6640481908b74903a47e1eb18 completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c749657f14819091e01c3cb6a0cdc4 completed March 28, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c749e8e1588190886fa72e0661d673 completed March 28, 2026, 3:24 a.m.
Created at: March 27, 2026, 2:25 p.m.