Triple

T9399342
Position Surface form Disambiguated ID Type / Status
Subject Allen Leech E226426 entity
Predicate characterPortrayed P1507 FINISHED
Object Paul Prenter E338608 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: Paul Prenter | Statement: [Allen Leech, characterPortrayed, Paul Prenter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Prenter
Context triple: [Allen Leech, characterPortrayed, Paul Prenter]
  • A. Paul Prenter chosen
    Paul Prenter was Freddie Mercury’s former personal manager, widely known for his controversial role in Mercury’s life and career, including his portrayal as a key antagonist in the film "Bohemian Rhapsody."
  • B. John Weitz
    John Weitz was a German-born American fashion designer and author known for his influential menswear designs and historical writings.
  • C. Michael Post
    Michael Post is best known as the husband of 1960s Warhol superstar and socialite Edie Sedgwick.
  • D. Kenneth Troske
    Kenneth Troske is an American economist and academic known for his expertise in labor and financial economics and for serving on the U.S. Congressional Oversight Panel monitoring financial rescue programs.
  • E. Donald W. Reynolds
    Donald W. Reynolds was an American media entrepreneur and philanthropist who built a vast newspaper and broadcasting empire and endowed numerous educational and cultural institutions.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51556fc08190b8ff8190a1485a3a completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10121f53c8190b4fe3ce0fe04aecc completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:46 p.m.