Triple

T10466984
Position Surface form Disambiguated ID Type / Status
Subject Demetra Pinsent E246822 entity
Predicate familyName P18 FINISHED
Object Pinsent E246822 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: Pinsent | Statement: [Demetra Pinsent, familyName, Pinsent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinsent
Context triple: [Demetra Pinsent, familyName, Pinsent]
  • A. Pinsent chosen
    Pinsent is an English surname most notably associated with Sir Matthew Pinsent, the multiple Olympic gold medal-winning rower.
  • B. Pennywell
    Pennywell is a residential suburb of Sunderland in North East England, known primarily for its large post-war housing estate.
  • C. Malpas
    Malpas is a historic rural village and civil parish in the south of Cheshire, England, known for its medieval church and traditional market-town character.
  • D. Potton
    Potton is a small market town in Bedfordshire, England, known for its historic town centre and rural surroundings.
  • E. Calderbank
    Calderbank is a small village in North Lanarkshire, Scotland, historically associated with coal mining and ironworks.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc5c26a88190aab4a590c20191a3 completed April 10, 2026, 11:17 a.m.
Created at: April 6, 2026, 12:19 p.m.