Triple

T20472117
Position Surface form Disambiguated ID Type / Status
Subject The 33 E502217 entity
Predicate characterDepicted P12208 FINISHED
Object Laurence Golborne 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: Laurence Golborne | Statement: [The 33, characterDepicted, Laurence Golborne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurence Golborne
Context triple: [The 33, characterDepicted, Laurence Golborne]
  • A. Laurence Golborne chosen
    Laurence Golborne is a Chilean engineer, businessman, and politician best known internationally for overseeing the successful rescue of 33 trapped miners after the 2010 Copiapó mining accident.
  • B. Laurence Eusden
    Laurence Eusden was an early 18th-century English poet best known for serving as one of the youngest and least acclaimed Poets Laureate of the United Kingdom.
  • C. Laurence Hutton
    Laurence Hutton was a 19th-century American essayist, critic, and editor known for his writings on literature and the theater.
  • D. Ian Lansbury
    Ian Lansbury is a television producer and member of the Lansbury family, the grandson of acclaimed actress Angela Lansbury.
  • E. Charles Lamont
    Charles Lamont was an American film director best known for his work on numerous comedy films, particularly those starring the duo Abbott and Costello.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6996197908190b6570e2a7fd6cf67 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.