Triple

T11615870
Position Surface form Disambiguated ID Type / Status
Subject John S. Collins E275505 entity
Predicate name P16 FINISHED
Object John S. Collins E275505 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 S. Collins | Statement: [John S. Collins, name, John S. Collins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John S. Collins
Context triple: [John S. Collins, name, John S. Collins]
  • A. John S. Collins chosen
    John S. Collins was an early developer and entrepreneur in Miami Beach, Florida, instrumental in its transformation into a resort destination.
  • B. John F. Collins
    John F. Collins was an American politician who served as mayor of Boston in the 1960s, known for leading significant urban renewal efforts in the city.
  • C. Charles J. Hughes Jr.
    Charles J. Hughes Jr. was a Democratic lawyer and politician who served as a U.S. Senator from Colorado in the early 20th century.
  • D. J. Howard McGrath
    J. Howard McGrath was an American lawyer and Democratic politician who served as U.S. Attorney General under President Harry S. Truman and previously as governor of Rhode Island and U.S. senator.
  • E. Robert C. Jones
    Robert C. Jones was an American film editor and screenwriter known for his work on numerous notable films and for winning an Academy Award for Best Film Editing.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a04675e08190837a3717242fd0f9 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee872ee03481908a9d779a44ec5236 completed April 26, 2026, 9:44 p.m.
Created at: April 8, 2026, 9:38 p.m.