Triple

T16628971
Position Surface form Disambiguated ID Type / Status
Subject Bourbon France E404024 entity
Predicate economicPolicy P1411 FINISHED
Object Colbertism E151125 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: Colbertism | Statement: [Bourbon France, economicPolicy, Colbertism]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colbertism
Context triple: [Bourbon France, economicPolicy, Colbertism]
  • A. Colbert
    Colbert is a prominent restaurant in London known for its Parisian-style café atmosphere and classic French brasserie cuisine.
  • B. Colbert chosen
    Colbert is a French surname most famously associated with Jean-Baptiste Colbert, the influential 17th-century statesman who served as finance minister under King Louis XIV.
  • C. The Colbert Report
    The Colbert Report is a satirical late-night television show in which Stephen Colbert portrays a bombastic conservative pundit to parody political commentary and news media.
  • D. Rexism
    Rexism was a far-right, authoritarian and Catholic nationalist political movement in Belgium that became notorious for its collaboration with Nazi Germany during World War II.
  • E. Murrayisms
    Murrayisms are the famously humorous, often contradictory or tautological commentary gaffes made by British Formula One commentator Murray Walker.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e399988190904e56eb3c490eed completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dbc6cf48190879b25e66c9453db completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.