Triple

T18070979
Position Surface form Disambiguated ID Type / Status
Subject Fred Done E432426 entity
Predicate sibling P363 FINISHED
Object Peter Done 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: Peter Done | Statement: [Fred Done, sibling, Peter Done]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Done
Context triple: [Fred Done, sibling, Peter Done]
  • A. Peter Done chosen
    Peter Done is a British businessman best known as the co-founder of the major UK bookmaker Betfred.
  • B. Harry Torczyner
    Harry Torczyner, better known as Naftali Herz Tur-Sinai, was a prominent Jewish philologist and Bible scholar who played a key role in the revival and standardization of Modern Hebrew.
  • C. Peter Braun
    Peter Braun is a relatively obscure individual whose primary public association is sharing the surname Braun, with no widely recognized distinguishing achievements or roles.
  • D. Peter V. Daniel
    Peter V. Daniel was a 19th-century American jurist who served as an Associate Justice of the U.S. Supreme Court and was known for his pro-slavery and states’ rights opinions.
  • E. Stephen Poliakoff
    Stephen Poliakoff is a British playwright, screenwriter, and director known for his distinctive, character-driven television dramas and films.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccee2fa4819098a61f7fdb8f1853 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.