Triple

T13741891
Position Surface form Disambiguated ID Type / Status
Subject Paula Radcliffe E330103 entity
Predicate spouse P13 FINISHED
Object Gary Lough E668354 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: Gary Lough | Statement: [Paula Radcliffe, spouse, Gary Lough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Lough
Context triple: [Paula Radcliffe, spouse, Gary Lough]
  • A. Gary Lough chosen
    Gary Lough is a former Northern Irish middle-distance runner and coach, known both for his own international athletics career and for coaching Olympic champion Mo Farah.
  • B. Robert Gaskins
    Robert Gaskins is a software entrepreneur best known as the co-creator of Microsoft PowerPoint and a key figure in the early development of presentation software.
  • C. Glenn Roberts
    Glenn Roberts is an American grain expert and founder of Anson Mills, renowned for reviving heirloom Southern grains and rice varieties, including Carolina Gold rice.
  • D. Ted Daughety
    Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
  • E. Gary Holton
    Gary Holton was an English actor and singer best known for playing the lovable rogue Wayne in the television series "Auf Wiedersehen, Pet."
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0206a4b88190a60914e2b43e54f9 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b2e59e88190b58fdf9d9643aef9 completed May 9, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:55 p.m.