Triple

T8506307
Position Surface form Disambiguated ID Type / Status
Subject Mary Evelyn Pickering E201341 entity
Predicate familyName P18 FINISHED
Object Pickering E134308 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: Pickering | Statement: [Mary Evelyn Pickering, familyName, Pickering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pickering
Context triple: [Mary Evelyn Pickering, familyName, Pickering]
  • A. Pickering
    Pickering is a suburban city in Southern Ontario, Canada, located just east of Toronto along Lake Ontario.
  • B. Pickering
    Pickering is a historic market town in North Yorkshire, England, known as a gateway to the North York Moors and for its heritage steam railway.
  • C. Pickering chosen
    Pickering is an English-origin surname borne by numerous notable figures in science, politics, and the arts.
  • D. Parkeston
    Parkeston is a village and port area in Essex, England, situated near Harwich and known historically for its railway and maritime connections.
  • E. Courtfield
    Courtfield is a residential district within the Royal Borough of Kensington and Chelsea in west London, known for its affluent character and proximity to central London amenities.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5db51e4819098dde316e87e8b0d completed March 31, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e3037e4819090677c7dc607e8f2 completed April 2, 2026, 11:08 a.m.
Created at: March 30, 2026, 6:14 p.m.