Triple

T10008689
Position Surface form Disambiguated ID Type / Status
Subject Fake Empire E198314 entity
Predicate producer P490 FINISHED
Object The National E39395 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: The National | Statement: [Fake Empire, producer, The National]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The National
Context triple: [Fake Empire, producer, The National]
  • A. The National chosen
    The National is an American indie rock band known for its brooding baritone vocals, intricate arrangements, and emotionally resonant songwriting.
  • B. The National
    The National is CBC Television's flagship nightly national news program in Canada, featuring in-depth reporting and analysis of major domestic and international stories.
  • C. Front of the Nation
    Front of the Nation is an Israeli political party whose name, translated from Hebrew as "Hazit HaAm," reflects its populist, nationalist orientation.
  • D. La Première
    La Première is a Swiss French-language public radio station operated by Radio Télévision Suisse, offering news, culture, and talk programming.
  • E. La Première
    La Première is Air France’s ultra-luxury first-class cabin, known for its exclusive suites, refined service, and premium amenities on select long-haul routes.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd38659c8190830d223edbfd74ec completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98801deb8819092a45193078f09b4 completed April 10, 2026, 11:30 p.m.
Created at: March 30, 2026, 8:52 p.m.