Triple

T3168809
Position Surface form Disambiguated ID Type / Status
Subject The Song of Bernadette E66276 entity
Predicate starring P1507 FINISHED
Object Vincent Price E144309 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: Vincent Price | Statement: [The Song of Bernadette, starring, Vincent Price]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Price
Context triple: [The Song of Bernadette, starring, Vincent Price]
  • A. Vincent Price chosen
    Vincent Price was an American actor renowned for his distinctive voice and charismatic presence, particularly in classic horror films and gothic dramas.
  • B. Vincent E. Price
    Vincent E. Price is an American political communication scholar and academic leader who serves as the president of Duke University.
  • C. Henry Hull
    Henry Hull was an American character actor best known for his prolific work in early 20th-century stage and film, including notable roles in classic Hollywood productions.
  • D. Laird Cregar
    Laird Cregar was an American character actor of the early 1940s, known for his imposing presence and memorable performances in film noir and period dramas.
  • E. Boris Karloff
    Boris Karloff was an English actor best known for his iconic portrayals in classic horror films, particularly as Frankenstein's monster in the 1931 film "Frankenstein."
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada64726048190933dbdc44258703e completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e5a0e081909a03f5eb222cfe60 completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.