Triple

T5700041
Position Surface form Disambiguated ID Type / Status
Subject Honora Edgeworth E125635 entity
Predicate familyName P18 FINISHED
Object Edgeworth E120532 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: Edgeworth | Statement: [Honora Edgeworth, familyName, Edgeworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edgeworth
Context triple: [Honora Edgeworth, familyName, Edgeworth]
  • A. Edgeworth chosen
    Edgeworth is an English surname most notably associated with the Anglo-Irish inventor and educationalist Richard Lovell Edgeworth and his prominent family.
  • B. Tattersett
    Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
  • C. Egerton
    Egerton is an English surname historically associated with a prominent aristocratic family influential in British politics, industry, and culture.
  • D. Gateacre
    Gateacre is a suburban district in south Liverpool, England, known for its historic village center and mix of Victorian and modern housing.
  • E. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0241030408190be774a5d2ca6e999 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5fe4fc8190944a63a29da0fe3c completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.