Triple

T17694176
Position Surface form Disambiguated ID Type / Status
Subject Hindsight Policy Gradients E441117 entity
Predicate introducedBy P513 FINISHED
Object Bob McGrew 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: Bob McGrew | Statement: [Hindsight Policy Gradients, introducedBy, Bob McGrew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob McGrew
Context triple: [Hindsight Policy Gradients, introducedBy, Bob McGrew]
  • A. Bob McGrew chosen
    Bob McGrew is a computer scientist and researcher known for co-authoring the Hindsight Experience Replay technique in reinforcement learning.
  • B. Tom Patterson
    Tom Patterson was a Canadian theatre producer best known as the founder of the Stratford Festival in Ontario.
  • C. Don Hunter
    Don Hunter is a composer known for writing the music to the song "I Don't Know Why."
  • D. Mike Salisbury
    Mike Salisbury is a British television producer best known for his work on major natural history documentaries, including serving as an executive producer on David Attenborough’s acclaimed series "The Life of Birds."
  • E. Mike Salisbury
    Mike Salisbury is a music producer known for his work on the project Meat Eaters.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4715485d88190b9b6f347ff85d7c7 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.