Triple

T4594580
Position Surface form Disambiguated ID Type / Status
Subject Dave Matthews Band E103575 entity
Predicate hasAssociatedAct P2830 FINISHED
Object Tim Reynolds E458318 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: Tim Reynolds | Statement: [Dave Matthews Band, hasAssociatedAct, Tim Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Reynolds
Context triple: [Dave Matthews Band, hasAssociatedAct, Tim Reynolds]
  • A. Tim Reynolds chosen
    Tim Reynolds is a virtuoso guitarist best known for his long-running collaboration with the Dave Matthews Band and his intricate acoustic and electric performances.
  • B. Scott Reed
    Scott Reed is a computer scientist and machine learning researcher known for his work on deep learning and generative models.
  • C. Joel Reynolds
    Joel Reynolds is a fictional protagonist whose story centers on his personal experiences and development within the narrative from which he is drawn.
  • D. Michael Pitts
    Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
  • E. Keenan Wynn
    Keenan Wynn was an American character actor known for his prolific film and television career from the 1940s through the 1970s, often playing gruff, comedic, or villainous supporting roles.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593e115081909b11149e02fe4ef3 completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0345e4688190abfbb55d60339e83 completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:11 p.m.