Triple

T15153853
Position Surface form Disambiguated ID Type / Status
Subject Russell Cantwell E362019 entity
Predicate familyName P18 FINISHED
Object Cantwell E844261 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: Cantwell | Statement: [Russell Cantwell, familyName, Cantwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cantwell
Context triple: [Russell Cantwell, familyName, Cantwell]
  • A. Newton Cantwell
    Newton Cantwell was a Jehovah’s Witness whose door-to-door religious advocacy led to the landmark U.S. Supreme Court case Cantwell v. Connecticut, which significantly expanded First Amendment protections for religious freedom and free speech.
  • B. Kitzhaber
    Kitzhaber is the surname of John Kitzhaber, an American politician and former governor of Oregon.
  • C. Crapo
    Crapo is the middle name of William C. Durant, the American industrialist who co-founded General Motors and Chevrolet.
  • D. McCarren
    McCarren is a surname most notably associated with American politician Patrick H. McCarren of New York.
  • E. Maria Cantwell chosen
    Maria Cantwell is a long-serving Democratic U.S. Senator from Washington known for her work on technology, energy, and consumer protection issues.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060b0cd08190afad14cffcc7d93f completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88419108190860319a9bcab1eef completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.