Triple

T3497461
Position Surface form Disambiguated ID Type / Status
Subject Tricky Stewart E73885 entity
Predicate name P16 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: [Tricky Stewart, name, Tricky Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tricky Stewart
Context triple: [Tricky Stewart, name, 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. Suggs
    Suggs is a surname shared by various notable individuals across fields such as sports, music, and entertainment.
  • E. 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.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd299ec8190b76b165b2fd70537 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d011c0819088245afe03be3c44 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.