Triple

T15550329
Position Surface form Disambiguated ID Type / Status
Subject Samuel M. Ralston E370725 entity
Predicate familyName P18 FINISHED
Object Ralston E939498 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: Ralston | Statement: [Samuel M. Ralston, familyName, Ralston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralston
Context triple: [Samuel M. Ralston, familyName, Ralston]
  • A. Ralston chosen
    Ralston is a surname of English and Scottish origin borne by various notable individuals across different fields.
  • B. Reynoldston
    Reynoldston is a rural village situated in the heart of the Gower Peninsula in Swansea, Wales, known for its scenic surroundings and traditional community character.
  • C. Warrenton
    Warrenton is a small South African town situated on the Vaal River in the Northern Cape, known historically as an agricultural and railway hub.
  • D. Warrenton
    Warrenton is a small historic town in Fauquier County that serves as a commercial and civic hub for the surrounding rural areas of Northern Virginia.
  • E. Sharlston
    Sharlston is a village in West Yorkshire, England, situated within the metropolitan borough of the City of Wakefield.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3e67c881909a9fa1e483a364be completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:08 a.m.