Triple

T864496
Position Surface form Disambiguated ID Type / Status
Subject James Bond E18670 entity
Predicate portrayedBy P1507 FINISHED
Object Timothy Dalton E33715 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: Timothy Dalton | Statement: [James Bond, portrayedBy, Timothy Dalton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy Dalton
Context triple: [James Bond, portrayedBy, Timothy Dalton]
  • A. Timothy Dalton chosen
    Timothy Dalton is a British actor best known for portraying James Bond in the films "The Living Daylights" and "Licence to Kill."
  • B. Martin Clunes
    Martin Clunes is an English actor and comedian best known for his lead role in the television series "Doc Martin" and his work on the sitcom "Men Behaving Badly."
  • 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. Michael Gambon
    Michael Gambon was an acclaimed Irish-English actor renowned for his powerful stage work and for portraying Albus Dumbledore in the Harry Potter film series.
  • 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_69a7c71702fc8190a143fe45b228ae24 completed March 4, 2026, 5:45 a.m.
Created at: March 1, 2026, 7:39 p.m.