Triple

T10660748
Position Surface form Disambiguated ID Type / Status
Subject GoldenEye E251215 entity
Predicate marksDebutAsJamesBond P64461 FINISHED
Object Pierce Brosnan E49520 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: Pierce Brosnan | Statement: [GoldenEye, marksDebutAsJamesBond, Pierce Brosnan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierce Brosnan
Context triple: [GoldenEye, marksDebutAsJamesBond, Pierce Brosnan]
  • A. Pierce Brosnan chosen
    Pierce Brosnan is an Irish actor best known for portraying James Bond in a series of films from the 1990s and early 2000s, as well as for roles in movies like "Mrs. Doubtfire" and "Mamma Mia!".
  • B. Sean Brosnan
    Sean Brosnan is an American actor and filmmaker, best known as the son of Irish actor Pierce Brosnan.
  • C. Paris Brosnan
    Paris Brosnan is an American model and filmmaker, best known as the son of actor Pierce Brosnan and for his work in fashion and humanitarian projects.
  • D. Dylan Brosnan
    Dylan Brosnan is an American model, musician, and filmmaker, best known as one of the sons of actor Pierce Brosnan.
  • E. Sean Connery
    Sean Connery was a Scottish actor best known for originating the role of James Bond on film and for his distinguished career in both mainstream and critically acclaimed cinema.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e017f97c8190b22765a6f1e6719d completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9885dc17881909df20abedd9da5e3 completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:08 p.m.