Triple

T13057054
Position Surface form Disambiguated ID Type / Status
Subject Hard II Love E327605 entity
Predicate producer P490 FINISHED
Object Tricky Stewart E388129 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: Tricky Stewart | Statement: [Hard II Love, producer, Tricky Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tricky Stewart
Context triple: [Hard II Love, producer, Tricky Stewart]
  • A. Tricky Stewart
    Tricky Stewart is an American record producer and songwriter known for crafting numerous chart-topping R&B and pop hits for major artists.
  • B. Christopher "Tricky" Stewart chosen
    Christopher "Tricky" Stewart is an American record producer and songwriter known for crafting numerous chart-topping R&B and pop hits for major artists.
  • C. Eric Blore
    Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
  • D. Dave Stewart
    Dave Stewart is an acclaimed American comic book colorist known for his work on numerous high-profile titles across major publishers.
  • E. Dave Stewart
    Dave Stewart is a British musician, songwriter, and producer best known as one half of the pop duo Eurythmics alongside Annie Lennox.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ff8c308190a40274c68a1c5da3 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:58 p.m.