Triple

T2945427
Position Surface form Disambiguated ID Type / Status
Subject Fred McMullin E79489 entity
Predicate givenName P17 FINISHED
Object Fred E34276 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 | Statement: [Fred McMullin, givenName, Fred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred
Context triple: [Fred McMullin, givenName, Fred]
  • A. Fred chosen
    Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
  • B. Frank
    Frank is the given first name of the American contemporary street artist and graphic designer Shepard Fairey, known for his iconic "OBEY" and Barack Obama "Hope" posters.
  • C. Frank
    Frank is a key supporting character in the post-apocalyptic horror film "28 Days Later," known as a protective father trying to keep his daughter safe amid a devastating viral outbreak in London.
  • D. Frank
    Frank is the given name of Frank Abagnale Jr., the infamous former con artist whose life inspired the film "Catch Me If You Can."
  • E. Frank
    Frank is a central, charismatic yet sinister antagonist in the psychological thriller film "Don't Worry Darling," portrayed by Chris Pine.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b2752481908ec6f9a9cc24c0a7 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08692105c81908a3a146376b7417f completed March 10, 2026, 9:01 p.m.
Created at: March 8, 2026, 2:56 p.m.