Triple

T6875724
Position Surface form Disambiguated ID Type / Status
Subject Michael Moorcock E158665 entity
Predicate awardReceived P11 FINISHED
Object BSFA Award E451737 NE FINISHED

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: BSFA Award | Statement: [Michael Moorcock, awardReceived, BSFA Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSFA Award
Context triple: [Michael Moorcock, awardReceived, BSFA Award]
  • A. BSFA Award chosen
    The BSFA Award is a prestigious British science fiction and fantasy honor presented annually by the British Science Fiction Association for outstanding works in the genre.
  • B. Barry Award
    The Barry Award is a prestigious literary prize presented annually to recognize outstanding crime and mystery fiction.
  • C. Back Award
    The Back Award is a prestigious honor given by the Royal Geographical Society for notable contributions to the development or application of geographical knowledge.
  • D. Paul White Award
    The Paul White Award is a prestigious lifetime achievement honor presented by the Radio Television Digital News Association to recognize outstanding contributions to electronic journalism.
  • E. Golden Fleece Award
    The Golden Fleece Award was a satirical prize created by U.S. Senator William Proxmire to publicly highlight and criticize what he considered wasteful government spending.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8c9e7b481909079b0f1fb1bc217 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742bd0bfc8190971aa9d8b7e6709d completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.