Triple

T954423
Position Surface form Disambiguated ID Type / Status
Subject Dr. No E20594 entity
Predicate series P1761 FINISHED
Object James Bond E18670 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: James Bond | Statement: [Dr. No, series, James Bond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Bond
Context triple: [Dr. No, series, James Bond]
  • A. James Bond chosen
    James Bond is a fictional British secret agent, code-named 007, known for his espionage missions, suave demeanor, and presence in a long-running series of novels and films.
  • B. Le Chiffre
    Le Chiffre is a notorious villain in the James Bond universe, best known as the primary antagonist and high-stakes gambler in Ian Fleming’s novel and its film adaptations.
  • C. James Bond universe
    The James Bond universe is the fictional world encompassing the espionage adventures, characters, and settings surrounding British secret agent 007 across novels and films.
  • D. Felix Leiter
    Felix Leiter is a recurring CIA operative and ally of James Bond in the James Bond franchise.
  • E. Auric Goldfinger
    Auric Goldfinger is a fictional wealthy and obsessive gold smuggler who serves as the main antagonist in Ian Fleming’s James Bond novel and its film adaptation "Goldfinger."
  • 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_69ac82f9610c819094bc8d9e5f242816 completed March 7, 2026, 7:56 p.m.
Created at: March 1, 2026, 7:40 p.m.