Triple

T14238867
Position Surface form Disambiguated ID Type / Status
Subject Jo Grant E352955 entity
Predicate spouse P13 FINISHED
Object Cliff Jones E1088268 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: Cliff Jones | Statement: [Jo Grant, spouse, Cliff Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cliff Jones
Context triple: [Jo Grant, spouse, Cliff Jones]
  • A. Cliff Jones chosen
    Cliff Jones is a fictional, idealistic Welsh ecologist and love interest of Jo Grant in the classic British science fiction series Doctor Who.
  • B. Roy Clifford
    Roy Clifford was a professional basketball coach best known for leading the Cleveland Rebels in the Basketball Association of America, a precursor to the modern NBA.
  • C. Leo Chapman
    Leo Chapman was the first husband of prominent American suffragist and peace activist Carrie Chapman Catt.
  • D. David Hunt
    David Hunt is a common name shared by several notable individuals, including politicians, actors, and authors.
  • E. John Talman
    John Talman was an English antiquary and art collector of the early 18th century, notable for his pioneering role in the study and preservation of historical artifacts and artworks.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62432fb48190b153805b85c4f2d2 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3253fc2c8190ba2da6fe6a910d85 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:08 a.m.