Triple

T8007794
Position Surface form Disambiguated ID Type / Status
Subject Let Me Love You E186406 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: [Let Me Love You, producer, Tricky Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tricky Stewart
Context triple: [Let Me Love You, 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 a British musician, songwriter, and producer best known as one half of the pop duo Eurythmics alongside Annie Lennox.
  • E. Dave Stewart
    Dave Stewart is a former Major League Baseball pitcher best known as a dominant ace for the Oakland Athletics during the late 1980s and early 1990s.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d6e1c9081909018bcebb18906f6 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc569e90d48190a1bf1495496017f8 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:18 p.m.