Triple

T3457059
Position Surface form Disambiguated ID Type / Status
Subject Thereza E72928 entity
Predicate loveInterestOf P7325 FINISHED
Object Alec Leamas E359169 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: Alec Leamas | Statement: [Thereza, loveInterestOf, Alec Leamas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alec Leamas
Context triple: [Thereza, loveInterestOf, Alec Leamas]
  • A. Alec Leamas chosen
    Alec Leamas is a jaded British intelligence officer whose morally complex mission at the height of the Cold War drives the plot of John le Carré’s novel "The Spy Who Came in from the Cold."
  • B. George Smiley
    George Smiley is a quiet, brilliant British intelligence officer in John le Carré’s spy novels, known for his understated demeanor, moral complexity, and skill at uncovering traitors within the secret service.
  • C. 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.
  • D. Felix Leiter
    Felix Leiter is a recurring CIA operative and ally of James Bond in the James Bond franchise.
  • E. James Bond
    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.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbaa9837c8190aafd618c6af3446e completed March 8, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373a7da208190a8a9ad5ede8d4f0f completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:16 p.m.