Triple

T16303976
Position Surface form Disambiguated ID Type / Status
Subject Conway the Machine E395860 entity
Predicate associatedAct P37 FINISHED
Object Daringer E1096071 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: Daringer | Statement: [Conway the Machine, associatedAct, Daringer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daringer
Context triple: [Conway the Machine, associatedAct, Daringer]
  • A. Daringer chosen
    Daringer is an American hip-hop producer best known for crafting the dark, gritty sound associated with the Buffalo-based Griselda collective.
  • B. Daughtrey
    Daughtrey is a surname most notably associated with Martha Craig Daughtrey, an American judge who served on the U.S. Court of Appeals for the Sixth Circuit.
  • C. Darende
    Darende is a historic district and town in eastern Turkey known for its natural scenery, religious sites, and cultural heritage within Malatya Province.
  • D. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • E. Buckmaster
    Buckmaster is a surname most notably associated with English orchestral arranger and composer Paul Buckmaster, known for his influential work in rock and pop music.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e35157481909e5604b7dae7a2a2 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa16e3c81908a92225b5b57d711 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.