Triple

T954425
Position Surface form Disambiguated ID Type / Status
Subject Dr. No E20594 entity
Predicate followedBy P78 FINISHED
Object Goldfinger E20844 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: Goldfinger | Statement: [Dr. No, followedBy, Goldfinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldfinger
Context triple: [Dr. No, followedBy, Goldfinger]
  • A. Goldfinger chosen
    Goldfinger is a James Bond spy novel by Ian Fleming featuring the villain Auric Goldfinger and his plot involving gold smuggling and Fort Knox.
  • B. Thunderball
    Thunderball is a James Bond spy novel by Ian Fleming that introduced the criminal organization SPECTRE and became one of the most famous entries in the Bond series.
  • C. You Only Live Twice
    You Only Live Twice is a 1964 James Bond spy novel by Ian Fleming that follows 007 on a mission in Japan involving a mysterious "Garden of Death" and his arch-enemy Ernst Stavro Blofeld.
  • D. Dr. No
    Dr. No is a 1958 James Bond spy novel by Ian Fleming featuring the British secret agent’s mission in Jamaica against the enigmatic villain Dr. Julius No.
  • E. From Russia, with Love
    From Russia, with Love is a 1957 James Bond spy novel by Ian Fleming, widely regarded as one of the most acclaimed and influential books in the 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_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_69ac25845f588190b0f60754636a88d0 completed March 7, 2026, 1:17 p.m.
Created at: March 1, 2026, 7:40 p.m.