Triple

T7260366
Position Surface form Disambiguated ID Type / Status
Subject John J. Raskob E159633 entity
Predicate givenName P17 FINISHED
Object John E167816 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: John | Statement: [John J. Raskob, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John J. Raskob, givenName, John]
  • A. John
    John is the given name of John Paul Stevens, a long-serving associate justice of the United States Supreme Court.
  • B. John chosen
    John J. Raskob was an American businessman and financier best known for his executive role at General Motors and for financing and promoting the construction of the Empire State Building.
  • C. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • D. John
    John is the given name of Sir John Borlase Warren, a prominent British naval officer and politician of the late 18th and early 19th centuries.
  • E. John
    John is the given name of John Francis Dodge, an American automobile pioneer and co-founder of the Dodge Brothers Company.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac5311c819094fc6880f3152813 completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d37a6cd48190802094259213a57f completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:57 p.m.