Triple

T17694172
Position Surface form Disambiguated ID Type / Status
Subject Hindsight Policy Gradients E441117 entity
Predicate introducedBy P513 FINISHED
Object Alex Ray 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: Alex Ray | Statement: [Hindsight Policy Gradients, introducedBy, Alex Ray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Ray
Context triple: [Hindsight Policy Gradients, introducedBy, Alex Ray]
  • A. Alex Ray chosen
    Alex Ray is a researcher in reinforcement learning best known for co-authoring the Hindsight Experience Replay (HER) algorithm that improves learning from sparse rewards.
  • B. Don Raye
    Don Raye was an American songwriter best known for his swing-era and boogie-woogie hits, often written in collaboration with lyricist Hughie Prince.
  • C. Charlie Ray
    "Charlie Ray" is a track by the artist Ray Ray, likely a hip-hop or rap song given the artist’s naming style.
  • D. Charlie Ray
    Charlie Ray is an American actress best known for her lead role as a young girl in the romantic comedy film "Little Manhattan."
  • E. Paul Rayley
    Paul Rayley is a minor character in Virginia Woolf’s novel "To the Lighthouse," known as a young guest of the Ramsay family who harbors romantic feelings for Minta Doyle.
  • 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.