Triple

T4881570
Position Surface form Disambiguated ID Type / Status
Subject Miss Moneypenny E109338 entity
Predicate relationshipStatusWithJamesBond P26473 FINISHED
Object unfulfilled romance LITERAL 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: unfulfilled romance | Statement: [Miss Moneypenny, relationshipStatusWithJamesBond, unfulfilled romance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithJamesBond
Context triple: [Miss Moneypenny, relationshipStatusWithJamesBond, unfulfilled romance]
  • A. relationshipStatusDuringFilm
    Indicates the type or state of a relationship between entities specifically during the time period in which a film takes place or is produced.
  • B. characterActorRelationship
    Indicates a relationship where an actor portrays or is associated with a specific character in a work.
  • C. hasPoliticalRelationshipWith
    Indicates a political connection or association between two entities, such as alliances, rivalries, collaborations, or other forms of political interaction.
  • D. relationshipToCharacter
    Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
  • E. hasRomanticTensionWith chosen
    Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two entities.
  • F. None of above.

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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dde6fcc8190a5aa7587f85632bd completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c2be5e881909f6ec9c3bcde49f3 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:27 p.m.