Triple

T12699939
Position Surface form Disambiguated ID Type / Status
Subject Telepictures E303432 entity
Predicate notableWork P4 FINISHED
Object Extra E664889 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: Extra | Statement: [Telepictures, notableWork, Extra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Extra
Context triple: [Telepictures, notableWork, Extra]
  • 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. Extra chosen
    Extra is an American entertainment news television program that covers celebrity news, gossip, and pop culture.
  • C. Extras
    Extras is a British television sitcom created by Ricky Gervais and Stephen Merchant that follows struggling background actors navigating the absurdities of the entertainment industry, often featuring high-profile guest stars playing exaggerated versions of themselves.
  • D. EXT
    EXT is the three-letter IATA airport code for Exeter Airport in Devon, England.
  • E. Super Deluxe
    Super Deluxe is a critically acclaimed 2019 Tamil anthology film known for its dark humor, nonlinear storytelling, and exploration of taboo social themes.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ef65ac8190aedf9ade3a68e24e completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b27790819085f0f03af33f8f21 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.