Triple

T3682253
Position Surface form Disambiguated ID Type / Status
Subject Michael Connelly E78136 entity
Predicate awardReceived P11 FINISHED
Object Edgar Award E39589 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: Edgar Award | Statement: [Michael Connelly, awardReceived, Edgar Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edgar Award
Context triple: [Michael Connelly, awardReceived, Edgar Award]
  • A. Edgar Award chosen
    The Edgar Award is a prestigious American literary prize presented by the Mystery Writers of America to honor outstanding works in mystery and crime fiction and nonfiction.
  • B. Gold Dagger
    The Gold Dagger is a prestigious annual award presented by the Crime Writers' Association for the best crime novel of the year.
  • C. Bram Stoker Award
    The Bram Stoker Award is a prestigious honor presented annually by the Horror Writers Association to recognize superior achievement in horror writing.
  • D. Cholmondeley Award
    The Cholmondeley Award is a prestigious British literary prize presented to poets in recognition of their outstanding contribution to poetry.
  • E. Gotham Award
    The Gotham Award is an American film accolade that honors independent cinema, recognizing outstanding achievements in low-budget and artistically distinctive films.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc492aed481909e8986378ad283fc completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3b306c081909b3857daa4f97ce2 completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.