Triple

T10258950
Position Surface form Disambiguated ID Type / Status
Subject Pavier quartos E240544 entity
Predicate areAssociatedWith P629 FINISHED
Object Thomas Pavier E851615 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: Thomas Pavier | Statement: [Pavier quartos, areAssociatedWith, Thomas Pavier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Pavier
Context triple: [Pavier quartos, areAssociatedWith, Thomas Pavier]
  • A. Thomas Pavier chosen
    Thomas Pavier was a London stationer and publisher active in the early 17th century, known for issuing several important quartos of plays, including works attributed to William Shakespeare.
  • B. Christian Girard
    Christian Girard was a mountaineer known for participating in the first ascent of the Swiss Alpine peak Lauteraarhorn.
  • C. John Pleffer
    John Pleffer is an Australian architect best known as the husband of acclaimed film director Gillian Armstrong.
  • D. Thomas Pierson
    Thomas Pierson is an American nonprofit leader best known for establishing and guiding the SETI Institute, a major center for scientific research on the search for extraterrestrial intelligence.
  • E. Charles Meneveau
    Charles Meneveau is a prominent mechanical engineer and physicist known for his influential research in turbulence and fluid dynamics, particularly in large-eddy simulation and multiscale modeling.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24e94e08190ad2b9733bf621fe4 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71cdcdf8c81909f5a2be1c3aa03a0 completed April 9, 2026, 3:28 a.m.
Created at: April 6, 2026, 11:31 a.m.