Triple

T5815163
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Stanhope E128966 entity
Predicate familyName P18 FINISHED
Object Stanhope E450831 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: Stanhope | Statement: [Charlotte Stanhope, familyName, Stanhope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanhope
Context triple: [Charlotte Stanhope, familyName, Stanhope]
  • A. Stanhope chosen
    Stanhope is an English surname historically associated with several notable figures in British politics, literature, and the aristocracy.
  • B. Stonely
    Stonely is a small village in Cambridgeshire, England, situated close to the town of Kimbolton.
  • C. Grosmont
    Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
  • D. Estcourt
    Estcourt is a town in the KwaZulu-Natal province of South Africa, historically significant as a colonial settlement and regional agricultural and transport hub.
  • E. Ferrars
    Ferrars is the surname of Edward Ferrars, a central character in Jane Austen's novel "Sense and Sensibility."
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0336344148190bcf417c0b9617cb9 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0984c5f14819096dfabce4a83e332 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.