Triple

T23347111
Position Surface form Disambiguated ID Type / Status
Subject Kroto E591896 entity
Predicate usedBy P260 FINISHED
Object Harry Kroto NE NERFINISHED

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: Harry Kroto | Statement: [Kroto, usedBy, Harry Kroto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Kroto
Context triple: [Kroto, usedBy, Harry Kroto]
  • A. Harry Kroto chosen
    Harry Kroto was a British chemist and Nobel laureate best known for co-discovering the carbon molecule buckminsterfullerene (C60), a key advance in the field of nanotechnology and carbon chemistry.
  • B. Robert Curl
    Robert Curl was an American chemist and Nobel laureate best known for co-discovering buckminsterfullerene (C60), a landmark finding in the field of nanotechnology and carbon chemistry.
  • C. Richard Smalley
    Richard Smalley was an American chemist and Nobel laureate best known for co-discovering fullerenes, a new form of carbon.
  • D. John Pople
    John Pople was a Nobel Prize–winning theoretical chemist renowned for developing computational methods in quantum chemistry that revolutionized the use of computers to model molecular systems.
  • E. Neil Bartlett
    Neil Bartlett is a British director, playwright, and author known for his innovative and often queer-focused adaptations and leadership in contemporary theatre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19837874481908f1a530261a34819 completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:19 p.m.