Triple

T3764011
Position Surface form Disambiguated ID Type / Status
Subject Sean Connery E82626 entity
Predicate notableWork P4 FINISHED
Object Dr. No E20594 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: Dr. No | Statement: [Sean Connery, notableWork, Dr. No]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. No
Context triple: [Sean Connery, notableWork, Dr. No]
  • A. Dr. No chosen
    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.
  • B. Goldfinger
    Goldfinger is a James Bond spy novel by Ian Fleming featuring the villain Auric Goldfinger and his plot involving gold smuggling and Fort Knox.
  • 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. 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.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfd4be481908242c460a3f00c56 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e51e54108190ab60e189cfbb0db0 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.