Triple

T12693431
Position Surface form Disambiguated ID Type / Status
Subject Jeremy King E303266 entity
Predicate notableWork P4 FINISHED
Object Colbert E998193 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: Colbert | Statement: [Jeremy King, notableWork, Colbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colbert
Context triple: [Jeremy King, notableWork, Colbert]
  • A. Colbert
    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.
  • B. Colbert chosen
    Colbert is a prominent restaurant in London known for its Parisian-style café atmosphere and classic French brasserie cuisine.
  • C. Stephen Colbert
    Stephen Colbert is an American comedian, writer, producer, political satirist, and television host best known for his work on "The Colbert Report" and "The Late Show with Stephen Colbert."
  • D. Con Colbert
    Con Colbert was an Irish republican and member of the Irish Volunteers who played a key role in the 1916 Easter Rising and was executed for his involvement.
  • E. 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.
  • 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_69d961dbc91c8190bec50797bbd593db completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7c4c608190a1786accf8d86141 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:22 p.m.