Triple

T4376674
Position Surface form Disambiguated ID Type / Status
Subject NFL Films E99022 entity
Predicate hasNarrator P9374 FINISHED
Object John Facenda E438043 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 Facenda | Statement: [NFL Films, hasNarrator, John Facenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Facenda
Context triple: [NFL Films, hasNarrator, John Facenda]
  • A. John Facenda chosen
    John Facenda was an American sportscaster and iconic narrator best known as the deep, dramatic “Voice of NFL Films,” whose distinctive delivery helped define the league’s cinematic storytelling style.
  • B. Robert Frasca
    Robert Frasca was an American architect known for his influential urban and civic designs, particularly in the Pacific Northwest.
  • C. Frank Renzo
    Frank Renzo is a central male character in the novel "On Green Dolphin Street," whose personal relationships and emotional struggles drive much of the story’s romantic and dramatic tension.
  • D. Barry Fanaro
    Barry Fanaro is an American screenwriter best known for co-writing the sci-fi comedy film "Men in Black II" and for his work on various television comedies.
  • E. Richard Baratta
    Richard Baratta is an American film producer and production manager known for his work on major Hollywood features and television projects.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3523d4e888190b4367ed6aa17d463 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6135623888190bf7a4b558ca3e0d4 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:18 p.m.