Triple

T2159167
Position Surface form Disambiguated ID Type / Status
Subject 4 E47961 entity
Predicate producer P490 FINISHED
Object Tricky Stewart E73885 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: [4, producer, Tricky Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tricky Stewart
Context triple: [4, producer, Tricky Stewart]
  • A. Tricky Stewart chosen
    Tricky Stewart is an American record producer and songwriter known for crafting numerous chart-topping R&B and pop hits for major artists.
  • B. 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.
  • C. 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.
  • D. Stuart Maynard
    Stuart Maynard is an English football manager best known for managing Notts County F.C. in the lower tiers of the English football league system.
  • E. Jon Cornish
    Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe6a412c8190ae632282650739d9 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d962a2c8190be1e3ae48367abad completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.