Triple

T18476166
Position Surface form Disambiguated ID Type / Status
Subject Daniel G. Bobrow E451438 entity
Predicate name P16 FINISHED
Object Daniel G. Bobrow 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: Daniel G. Bobrow | Statement: [Daniel G. Bobrow, name, Daniel G. Bobrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel G. Bobrow
Context triple: [Daniel G. Bobrow, name, Daniel G. Bobrow]
  • A. Daniel G. Bobrow chosen
    Daniel G. Bobrow was an influential American computer scientist and early artificial intelligence researcher known for his work on natural language understanding and AI programming systems.
  • B. Paul S. Rosenbloom
    Paul S. Rosenbloom is a computer scientist and cognitive scientist known for his foundational work in cognitive architectures and artificial intelligence.
  • C. Louis J. Horvitz
    Louis J. Horvitz is an American television director best known for directing numerous major live awards shows, including multiple Academy Awards broadcasts.
  • D. Milburn G. Apt
    Milburn G. Apt was a United States Air Force test pilot and the first person to exceed Mach 3, who died in the crash of the Bell X-2 during a record-setting flight in 1956.
  • E. Andrew R. Tennenbaum
    Andrew R. Tennenbaum is a film producer known for his work on major Hollywood features, including the romantic drama "Water for Elephants."
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062f67881909620c4e8fc00eb7d completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:35 a.m.