Triple

T21838969
Position Surface form Disambiguated ID Type / Status
Subject Dirk Brouwer Award E539200 entity
Predicate notableRecipient P108 FINISHED
Object Jack Wisdom 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: Jack Wisdom | Statement: [Dirk Brouwer Award, notableRecipient, Jack Wisdom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Wisdom
Context triple: [Dirk Brouwer Award, notableRecipient, Jack Wisdom]
  • A. Jack Wisdom chosen
    Jack Wisdom is an American planetary scientist and MIT professor known for his work on celestial mechanics and dynamical chaos in the solar system.
  • B. Jerry Wisdom
    Jerry Wisdom was a Bahamian sprinter known for competing in international track and field events, including the Olympic Games.
  • C. Frank Wise
    Frank Wise was an Australian politician who served as Premier of Western Australia in the 1940s and later held senior roles in public administration.
  • D. William Wise
    William Wise is an actor known for his role in the acclaimed drama film "In the Bedroom."
  • E. Raymond Wise
    Raymond Wise is a name shared by multiple individuals, most notably an American actor recognized for his roles in film and television.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7aaa4f081909e869d2e81b07b91 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.