Triple

T23456264
Position Surface form Disambiguated ID Type / Status
Subject Politico E567929 entity
Predicate hasSection P35 FINISHED
Object Politico Playbook NE NERFINISHED

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: Politico Playbook | Statement: [Politico, hasSection, Politico Playbook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Politico Playbook
Context triple: [Politico, hasSection, Politico Playbook]
  • A. Politico chosen
    Politico is an American political journalism organization known for its in-depth coverage of U.S. politics, policy, and government.
  • B. The Making of the President 2016
    The Making of the President 2016 is a political book by strategist Roger Stone analyzing Donald Trump’s 2016 presidential campaign and election victory.
  • C. The Place for Politics
    The Place for Politics is a promotional tagline used by the American cable news channel MSNBC to emphasize its focus on political news and analysis.
  • D. The Politician
    The Politician is a 17th-century stage play by English dramatist James Shirley, known as one of his notable tragic works exploring court intrigue and moral corruption.
  • E. The Politician
    The Politician is a satirical comedy-drama television series created by Ryan Murphy that follows an ambitious high school student navigating ruthless politics on his path to the presidency.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a6980d4481909fab47cb5bd28eab completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.