Triple

T21294779
Position Surface form Disambiguated ID Type / Status
Subject John Sparkman E524891 entity
Predicate name P16 FINISHED
Object John Sparkman NE NERFINISHED

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 Sparkman | Statement: [John Sparkman, name, John Sparkman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Sparkman
Context triple: [John Sparkman, name, John Sparkman]
  • A. John Sparkman chosen
    John Sparkman was an American Democratic politician from Alabama who served as a long-time U.S. senator and was the Democratic vice-presidential nominee in the 1952 election.
  • B. John Hazelwood
    John Hazelwood was a Continental Navy officer and militia leader noted for his crucial role in defending the Delaware River against British forces during the American Revolutionary War.
  • C. Herbert Burns
    Herbert Burns is a Brazilian mixed martial artist and Brazilian jiu-jitsu specialist who has competed in major promotions such as the UFC.
  • D. Alan Blakley
    Alan Blakley was an English guitarist, songwriter, and record producer best known as a member of the 1960s pop group The Tremeloes.
  • E. Frank Bryant
    Frank Bryant is a disillusioned, middle-aged university literature professor whose relationship with an eager working-class student drives the central transformation in the play and film "Educating Rita."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73857784881908c3b8418a4c00c1e completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.