Triple

T7592892
Position Surface form Disambiguated ID Type / Status
Subject License to Kill E179781 entity
Predicate hasBondGirl P78036 FINISHED
Object Pam Bouvier E679257 NE FINISHED

How this triple was built (3 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: Pam Bouvier | Statement: [License to Kill, hasBondGirl, Pam Bouvier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pam Bouvier
Context triple: [License to Kill, hasBondGirl, Pam Bouvier]
  • A. Pam Bouvier chosen
    Pam Bouvier is a resourceful and tough CIA informant and Bond girl who assists James Bond in his mission in the 1989 film "Licence to Kill."
  • B. Pam Brady
    Pam Brady is an American television and film writer and producer best known for her work on "South Park" and various comedy projects.
  • C. Amy Ferson
    Amy Ferson is an American journalist and commentator best known as the first wife of television personality and news anchor T. J. Holmes.
  • D. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • E. Grace Calhoun
    Grace Calhoun is a collegiate athletics administrator known for leading major university sports programs, including serving as athletic director for Brown University's Brown Bears.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBondGirl
Context triple: [License to Kill, hasBondGirl, Pam Bouvier]
  • A. bondedWith
    Indicates that two entities are joined by a strong, enduring connection or attachment, whether emotional, social, or structural.
  • B. hasOnScreenKissWith
    Indicates that two entities share a romantic or affectionate kiss depicted visually within the same on-screen scene.
  • C. hasPersona
    Indicates that an entity possesses or is associated with a particular persona, role, or character profile.
  • D. hasFemaleEquivalent
    Indicates that one entity serves as the female counterpart or equivalent of another entity.
  • E. hasBondType
    Indicates the specific kind of bond or connection that exists between two related entities.
  • F. None of above. chosen

Provenance (5 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b92c348190b547f0aacfb8d6be completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a20bb4708190af7bc67db7c108b3 completed March 29, 2026, 3:52 a.m.
PD Predicate disambiguation batch_69c6f4e2e42c8190afc802c4796c9cc2 completed March 27, 2026, 9:21 p.m.
PDg Predicate description generation batch_69c6f8184bb08190b2f70545a6aa277c completed March 27, 2026, 9:35 p.m.
Created at: March 27, 2026, 3:53 p.m.