Triple

T9836799
Position Surface form Disambiguated ID Type / Status
Subject Thunderbolt (1929 film) E239121 entity
Predicate starring P1507 FINISHED
Object Richard Arlen E445424 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: Richard Arlen | Statement: [Thunderbolt (1929 film), starring, Richard Arlen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Arlen
Context triple: [Thunderbolt (1929 film), starring, Richard Arlen]
  • A. Richard Arlen chosen
    Richard Arlen was an American film actor best known for his roles in early Hollywood, particularly in silent and early sound-era adventure and war films.
  • B. Barry Livesey
    Barry Livesey was a British actor active in the early to mid-20th century, known for his work on stage and in film and as a member of the prominent Livesey acting family.
  • C. George Brent
    George Brent was an Irish-American leading man of 1930s and 1940s Hollywood cinema, known for his suave screen presence opposite stars like Bette Davis.
  • D. Jack Cardiff
    Jack Cardiff was an acclaimed British cinematographer and director renowned for his pioneering use of Technicolor and visually striking work on classic films.
  • E. Brian Donlevy
    Brian Donlevy was an American film actor known for his tough-guy roles in Hollywood classics of the 1930s and 1940s, including several notable Westerns and war films.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb33b07688190b78a70cf535c3efc completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d4079048190976eb198f8ef62f0 completed April 5, 2026, 7:20 a.m.
Created at: March 30, 2026, 8:33 p.m.