Triple

T954437
Position Surface form Disambiguated ID Type / Status
Subject Dr. No E20594 entity
Predicate filmAdaptationStar P795 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: [Dr. No, filmAdaptationStar, Sean Connery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Connery
Context triple: [Dr. No, filmAdaptationStar, 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. George Lazenby
    George Lazenby is an Australian actor best known for playing James Bond in the 1969 film "On Her Majesty's Secret Service."
  • D. Roger Moore
    Roger Moore was an English actor best known for playing James Bond in seven films from 1973 to 1985.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3da8d508190b56b29d7f235d2c4 completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac119fd16c81908c43b6d3dc6d53b6 completed March 7, 2026, 11:53 a.m.
Created at: March 1, 2026, 7:40 p.m.