Triple

T20808464
Position Surface form Disambiguated ID Type / Status
Subject Twin Beds E512231 entity
Predicate hasCastMember P2308 FINISHED
Object George Brent NE NERFINISHED

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: George Brent | Statement: [Twin Beds, hasCastMember, George Brent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Brent
Context triple: [Twin Beds, hasCastMember, George Brent]
  • A. George Brent chosen
    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.
  • B. 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.
  • C. 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."
  • D. Ronald Warwick
    Ronald Warwick is a British mariner and former Cunard Line officer best known as the inaugural captain of the ocean liner Queen Mary 2.
  • E. Richard Arlen
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d0a2a081908fb0e3d890e87aaf completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.