Triple

T864493
Position Surface form Disambiguated ID Type / Status
Subject James Bond E18670 entity
Predicate portrayedBy P1507 FINISHED
Object Sean Connery E82626 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: Sean Connery | Statement: [James Bond, portrayedBy, Sean Connery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Connery
Context triple: [James Bond, portrayedBy, Sean Connery]
  • A. Sean Connery chosen
    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.
  • B. Pierce Brosnan
    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!".
  • C. Timothy Dalton
    Timothy Dalton is a British actor best known for portraying James Bond in the films "The Living Daylights" and "Licence to Kill."
  • D. Michael Caine
    Michael Caine is an acclaimed English actor known for his distinctive voice and versatile performances across decades of film, including frequent roles in Christopher Nolan’s movies.
  • E. Omar Sharif
    Omar Sharif was an acclaimed Egyptian actor known internationally for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac6956488190a5644cdd5b55684f completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c7999c81908b2f27610c263b7f completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:39 p.m.