Triple

T17872441
Position Surface form Disambiguated ID Type / Status
Subject Hugh Woodin E446866 entity
Predicate influencedBy P9 FINISHED
Object Paul Cohen 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: Paul Cohen | Statement: [Hugh Woodin, influencedBy, Paul Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Cohen
Context triple: [Hugh Woodin, influencedBy, Paul Cohen]
  • A. Paul Cohen
    Paul Cohen was an influential American country music producer and record executive who helped shape the genre’s development in the mid-20th century.
  • B. Paul Cohen chosen
    Paul Cohen was an American mathematician renowned for developing the method of forcing and proving the independence of the continuum hypothesis and the axiom of choice from Zermelo–Fraenkel set theory.
  • C. Gerald Allan Cohen
    Gerald Allan Cohen was a Canadian-born political philosopher and Marxist theorist known for his influential work on egalitarianism and the analytical reconstruction of Marxism.
  • D. Paul Goldstein
    Paul Goldstein is a prominent American legal scholar and author, best known for his influential work in intellectual property and copyright law.
  • E. Melvin Fitting
    Melvin Fitting is a logician and computer scientist known for his influential work in automated theorem proving, modal logic, and the foundations of logic in computer science.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa3cd248190a13a8209ba44fd3b completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.