Triple

T15897062
Position Surface form Disambiguated ID Type / Status
Subject John Fielden E385483 entity
Predicate familyName P18 FINISHED
Object Fielden E385483 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: Fielden | Statement: [John Fielden, familyName, Fielden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fielden
Context triple: [John Fielden, familyName, Fielden]
  • A. Fielden chosen
    Fielden is an English surname historically associated with figures involved in labor activism and social reform.
  • B. Arfield
    Arfield is the surname of Scott Arfield, a professional footballer known for playing as a midfielder for clubs such as Burnley and Rangers and representing the Canadian national team.
  • C. Sandfield
    Sandfield is the nickname of John Sandfield Macdonald, a 19th-century Canadian politician who served as the first Premier of Ontario.
  • D. Sandfield
    Sandfield is a small rural community within the township of Central Manitoulin on Manitoulin Island in Ontario, Canada.
  • E. Luffield
    Luffield is a well-known, long right-hand corner at the Silverstone Circuit that significantly influences lap times and race strategy in motorsport events held there.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15639c9748190b1115f74cbd61330 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04b55ec8190a5b3513b2afa4f83 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.