Triple

T6159440
Position Surface form Disambiguated ID Type / Status
Subject Tony Way E137403 entity
Predicate notableWork P4 FINISHED
Object Extras E187025 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: Extras | Statement: [Tony Way, notableWork, Extras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Extras
Context triple: [Tony Way, notableWork, Extras]
  • A. Extra
    Extra is a popular sugar-free chewing gum brand produced by the Wrigley Company, known for its long-lasting flavor and wide variety of mint and fruit options.
  • B. More Stuff
    "More Stuff" is a comedy track from George Carlin’s 1986 stand-up album *Playin’ with Your Head*, showcasing his observational humor about materialism and consumer culture.
  • C. Expansions
    Expansions is a series of monumental polyurethane foam sculptures by French artist César Baldaccini that dramatically capture the moment of material expansion and solidification.
  • D. Extras (TV series) chosen
    Extras is a British television sitcom created by Ricky Gervais and Stephen Merchant that follows the often humiliating experiences of background actors trying to break into show business.
  • E. exo
    exo is the public transit authority serving the greater Montreal metropolitan area, operating commuter trains and buses across multiple suburban regions in Quebec, Canada.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d3445dc8190822954cee90f0dd7 completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419064a48190880005459c86322c completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.