Triple

T15790897
Position Surface form Disambiguated ID Type / Status
Subject The New Science E382859 entity
Predicate hasInfluenced P9 FINISHED
Object Hayden White E382863 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: Hayden White | Statement: [The New Science, hasInfluenced, Hayden White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayden White
Context triple: [The New Science, hasInfluenced, Hayden White]
  • A. Hayden White chosen
    Hayden White was an American historian and literary theorist best known for his work on the narrative and rhetorical structures of historical writing, especially in his influential book "Metahistory."
  • B. Kenneth H. Jackson
    Kenneth H. Jackson was a prominent 20th-century British linguist and historian renowned for his pioneering research on the history and development of the Celtic languages.
  • C. Michael Kammen
    Michael Kammen was an American historian renowned for his work on U.S. cultural history and collective memory, and a Pulitzer Prize-winning author.
  • D. Donald Kagan
    Donald Kagan was a prominent American historian and classicist best known for his influential works on ancient Greek history, particularly the Peloponnesian War.
  • E. Peter Burke
    Peter Burke is a principled and sharp FBI agent in the TV series "White Collar," known for his partnership with con artist Neal Caffrey to solve white-collar crimes.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d819c881908bc43a6124a1bb2e completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a87e3c8190a1c5b13cbfdff54a completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.