Triple

T10956402
Position Surface form Disambiguated ID Type / Status
Subject Dad Loves His Work E258856 entity
Predicate featuredArtist P997 FINISHED
Object Waddy Wachtel E436775 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: Waddy Wachtel | Statement: [Dad Loves His Work, featuredArtist, Waddy Wachtel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waddy Wachtel
Context triple: [Dad Loves His Work, featuredArtist, Waddy Wachtel]
  • A. Waddy Wachtel chosen
    Waddy Wachtel is an American guitarist, songwriter, and record producer best known for his prolific session work and collaborations with major rock and pop artists since the 1970s.
  • B. Charlie Wachtel
    Charlie Wachtel is an American screenwriter best known for co-writing the Academy Award–winning film "BlacKkKlansman."
  • C. Elmer Wachtel
    Elmer Wachtel was an American landscape painter associated with early 20th-century California Impressionism.
  • D. Bernie Kukoff
    Bernie Kukoff is an American television writer and producer best known for co-creating the popular sitcom "Diff'rent Strokes."
  • E. Louis Garfinkle
    Louis Garfinkle was an American screenwriter best known for co-writing the acclaimed Vietnam War drama film "The Deer Hunter."
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7710088e8819099e3272e26566c44 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7439204819092fcd061a161fd7b completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.