Triple

T7441403
Position Surface form Disambiguated ID Type / Status
Subject Lauren Sánchez E171761 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: [Lauren Sánchez, notableWork, Extra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Extra
Context triple: [Lauren Sánchez, 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. Every Day Is Extra
    Every Day Is Extra is a memoir by former U.S. Secretary of State John Kerry, recounting his life, military service in Vietnam, and decades-long political career.
  • D. 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.
  • E. PlusPlus
    PlusPlus is a related sister channel to the 1+1 television network, offering its own lineup of entertainment programming.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36b9a3c81908abcc2a64d3e6061 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8344d4c408190a72f8f7718957f21 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:13 p.m.