Triple

T9791061
Position Surface form Disambiguated ID Type / Status
Subject BSX E237607 entity
Predicate hasUnderlyingCompanyFounders P8758 FINISHED
Object Peter Nicholas E237606 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: Peter Nicholas | Statement: [BSX, hasUnderlyingCompanyFounders, Peter Nicholas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Nicholas
Context triple: [BSX, hasUnderlyingCompanyFounders, Peter Nicholas]
  • A. Peter Nicholas chosen
    Peter Nicholas was an American businessman and philanthropist best known as the co-founder of the medical device company Boston Scientific.
  • B. Peter Nichols
    Peter Nichols is a British playwright and screenwriter best known for his darkly comic stage works such as "A Day in the Death of Joe Egg."
  • C. Nicholas Pinnock
    Nicholas Pinnock is a British actor known for his roles in television dramas such as "Counterpart" and "For Life."
  • D. Stephen Nicol
    Stephen Nicol is a former Scottish professional footballer and versatile defender best known for his successful spell at Liverpool FC in the 1980s and early 1990s.
  • E. Peter Garnsey
    Peter Garnsey is a prominent historian of the ancient world, particularly known for his influential scholarship on the social, economic, and legal history of the Roman Empire.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5abb26c81909d597b65f24f9bcf completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:28 p.m.