Triple

T16835599
Position Surface form Disambiguated ID Type / Status
Subject Tucker’s People E409268 entity
Predicate author P4 FINISHED
Object Ira Wolfert E412478 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: Ira Wolfert | Statement: [Tucker’s People, author, Ira Wolfert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ira Wolfert
Context triple: [Tucker’s People, author, Ira Wolfert]
  • A. Ira Wolfert chosen
    Ira Wolfert was an American journalist and novelist best known for his World War II reporting and his novel "Tucker's People," which was adapted into the film "Force of Evil."
  • B. David Wolfert
    David Wolfert is an American songwriter, guitarist, and producer known for his work on numerous pop and R&B recordings, including co-writing the ballad "I Believe in You and Me."
  • C. Ira Hirschmann
    Ira Hirschmann was an American businessman and diplomat best known for his World War II efforts to rescue Jews from the Holocaust and his later work in international affairs.
  • D. Meyer Wolfe
    Meyer Wolfe was an American sculptor and painter active in the mid-20th century, known for his modernist works and association with the New York art scene.
  • E. Joseph Weishaar
    Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34d49d08190aa62f05d67244584 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb15c9f48190a4d73bb08a15beb4 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.