Triple

T2340608
Position Surface form Disambiguated ID Type / Status
Subject The Dam Busters (1955 film) E45016 entity
Predicate stars P1956 FINISHED
Object Richard Todd E268425 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 Todd | Statement: [The Dam Busters (1955 film), stars, Richard Todd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Todd
Context triple: [The Dam Busters (1955 film), stars, Richard Todd]
  • A. Richard Todd chosen
    Richard Todd was an Irish-born British actor best known for his roles in classic war films such as "The Dam Busters" and "The Longest Day."
  • B. Colin Clive
    Colin Clive was a British actor best known for his iconic portrayal of Dr. Henry Frankenstein in the classic 1930s horror films "Frankenstein" and "Bride of Frankenstein."
  • C. Michael Wilding
    Michael Wilding was a British film and stage actor best known for his roles in 1940s–1950s British cinema and for his high-profile marriage to actress Elizabeth Taylor.
  • D. Ralph Richardson
    Ralph Richardson was a distinguished English stage and film actor renowned for his powerful performances in both classical theatre and mid-20th-century cinema.
  • E. Jack Hawkins
    Jack Hawkins was a distinguished British actor known for his commanding presence in mid-20th-century war and historical 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6abf1688190b7c404de0979149a completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98a0ce708190a89b68e8e9053f43 completed March 10, 2026, 4:05 a.m.
Created at: March 4, 2026, 7:52 p.m.