Triple

T1013940
Position Surface form Disambiguated ID Type / Status
Subject On Her Majesty's Secret Service E21887 entity
Predicate filmAdaptationStar P795 FINISHED
Object George Lazenby E103373 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: George Lazenby | Statement: [On Her Majesty's Secret Service, filmAdaptationStar, George Lazenby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Lazenby
Context triple: [On Her Majesty's Secret Service, filmAdaptationStar, George Lazenby]
  • A. George Lazenby chosen
    George Lazenby is an Australian actor best known for playing James Bond in the 1969 film "On Her Majesty's Secret Service."
  • B. Roger Moore
    Roger Moore was an English actor best known for playing James Bond in seven films from 1973 to 1985.
  • 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. 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.
  • E. Guy Hamilton
    Guy Hamilton was a British film director best known for helming several classic James Bond movies, including "Goldfinger" and "Diamonds Are Forever."
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7be907c8190b5c6ea89257755a7 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3baf80348190b6909cbd1fd40cb4 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.