Triple

T6274146
Position Surface form Disambiguated ID Type / Status
Subject Jenkins E140612 entity
Predicate hasCognate P2525 FINISHED
Object Jenkinson E345715 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: Jenkinson | Statement: [Jenkins, hasCognate, Jenkinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenkinson
Context triple: [Jenkins, hasCognate, Jenkinson]
  • A. Jenkinson chosen
    Jenkinson is an English surname historically associated with notable political figures, including British prime ministers.
  • B. Wilkinson
    Wilkinson is an English surname, originally a patronymic meaning "son of Wilkin," that has been borne by various notable figures and brands.
  • C. Johnsen
    Johnsen is a surname of Scandinavian origin, commonly used as a patronymic family name meaning "son of John."
  • D. Jurgensen
    Jurgensen is the surname of Sonny Jurgensen, a Hall of Fame American football quarterback best known for his prolific passing career with the Washington Redskins.
  • E. Jenssen
    Jenssen is a Scandinavian surname, particularly common in Norway, that originated as a patronymic form meaning "son of Jens."
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063c0629c8190805ddf1a604e9ca4 completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446ad060819094acd817ba5eadc9 completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:25 p.m.