Triple

T20608974
Position Surface form Disambiguated ID Type / Status
Subject Eva by Heart E506394 entity
Predicate producer P490 FINISHED
Object Lenny Williams 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: Lenny Williams | Statement: [Eva by Heart, producer, Lenny Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenny Williams
Context triple: [Eva by Heart, producer, Lenny Williams]
  • A. Lenny Williams chosen
    Lenny Williams is an American soul and R&B singer best known as the former lead vocalist of the group Tower of Power and for his influential solo work in the 1970s.
  • B. Len Williams
    Len Williams was a British classical guitar teacher and promoter best known as the father and early mentor of renowned guitarist John Williams.
  • C. Mike Williams
    Mike Williams is a Swedish computer scientist best known as one of the creators of the Erlang programming language.
  • D. Mike Williams
    Mike Williams is the real-life chief electronics technician whose experiences during the 2010 Deepwater Horizon oil rig disaster were dramatized in the film "Deepwater Horizon."
  • E. Mike Williams
    Mike Williams is a Dutch DJ and electronic music producer known for his melodic future house tracks and collaborations within the EDM scene.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad5e53c8190b0add34ce9b31d57 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.