Triple

T7621366
Position Surface form Disambiguated ID Type / Status
Subject Nichols E172500 entity
Predicate hasNotableBearer P458 FINISHED
Object John Nichols E417100 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 Nichols | Statement: [Nichols, hasNotableBearer, John Nichols]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Nichols
Context triple: [Nichols, hasNotableBearer, John Nichols]
  • A. John Nichols chosen
    John Nichols is an American journalist and author known for his progressive political commentary and work with The Nation magazine.
  • B. John Nichols
    John Nichols is an American novelist best known for works such as "The Sterile Cuckoo" and his politically charged "New Mexico Trilogy."
  • C. John Nichols
    John Nichols is an American local politician serving as the mayor of College Station, Texas.
  • D. David Sirota
    David Sirota is an American journalist, author, and political commentator who co-wrote the screenplay for the satirical disaster film "Don't Look Up."
  • E. Michael Tomasky
    Michael Tomasky is an American journalist, author, and political commentator known for his liberal analysis and leadership roles at prominent opinion magazines.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa62870c8190b17f44eb7a3ff2ad completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868789618819094010e60ef73fdfd completed March 28, 2026, 11:47 p.m.
Created at: March 27, 2026, 3:56 p.m.