Triple

T15190822
Position Surface form Disambiguated ID Type / Status
Subject The Island E363004 entity
Predicate editor P1954 FINISHED
Object Paul Rubell E57783 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: Paul Rubell | Statement: [The Island, editor, Paul Rubell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Rubell
Context triple: [The Island, editor, Paul Rubell]
  • A. Paul Rubell chosen
    Paul Rubell is an American film editor known for his work on high-profile movies such as "The Insider," "Collateral," and "Transformers."
  • B. Don Bachardy
    Don Bachardy is an American portrait artist known for his long-term relationship with writer Christopher Isherwood and his distinctive drawings of notable cultural figures.
  • C. Leo Kahn
    Leo Kahn was an American entrepreneur and retail pioneer best known as a co-founder of the office-supplies giant Staples.
  • D. Lanny Breuer
    Lanny Breuer is an American lawyer who served as Assistant Attorney General for the U.S. Department of Justice’s Criminal Division and later became a prominent partner at Covington & Burling.
  • E. Oscar de la Renta
    Oscar de la Renta was a renowned Dominican-American fashion designer celebrated for his elegant, feminine couture and eveningwear, dressing numerous celebrities and first ladies.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec89797ac819090fb68bb5f2fad5c completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:10 a.m.