Triple

T14915221
Position Surface form Disambiguated ID Type / Status
Subject WXRK (New York) E371363 entity
Predicate notablePersonAssociated P7128 FINISHED
Object Fred Norris E987452 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: Fred Norris | Statement: [WXRK (New York), notablePersonAssociated, Fred Norris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Norris
Context triple: [WXRK (New York), notablePersonAssociated, Fred Norris]
  • A. Fred Norris chosen
    Fred Norris is an American radio personality, comedian, and longtime staff member of The Howard Stern Show who has also worked as a writer and actor.
  • B. Stan Norris
    Stan Norris is the protagonist of Stephen King's short story "The Ledge," a tense thriller about a man forced to risk his life by traversing a narrow ledge high above the ground.
  • C. Wayne Norris
    Wayne Norris is a fictional character from the British television comedy-drama series "Auf Wiedersehen, Pet," which follows a group of British construction workers seeking employment abroad.
  • D. Paul Norris
    Paul Norris was an American comic book artist best known for co-creating the DC Comics superhero Aquaman.
  • E. Frank North
    Frank North was a 19th-century American military officer and frontiersman best known for organizing and leading the Pawnee Scouts for the U.S. Army during the Indian Wars.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded61f1d488190995f847f84d72cdc completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e86ce888190b03056db39438701 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:28 a.m.