Triple

T17504962
Position Surface form Disambiguated ID Type / Status
Subject Guido Contini E426288 entity
Predicate hasRelationship P37 FINISHED
Object mistress Carla NE NERFINISHED

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: mistress Carla | Statement: [Guido Contini, hasRelationship, mistress Carla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: mistress Carla
Context triple: [Guido Contini, hasRelationship, mistress Carla]
  • A. Carla chosen
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • B. Carla-Bayle
    Carla-Bayle is a small commune in southwestern France known for its picturesque hilltop setting and association with the philosopher Pierre Bayle.
  • C. Sister Carla
    Sister Carla is a central nun protagonist in the novel and television series "Lambs of God," known for her complex faith and role within the secluded convent community.
  • D. Karla
    Karla is the elusive Soviet spymaster and primary antagonist of John le Carré’s George Smiley novels, symbolizing the Cold War espionage rivalry between British intelligence and the KGB.
  • E. Karla
    Karla is a villainous mastermind character who serves as the primary antagonist opposing the bumbling spy Johnny English in the comedy film series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45214d44c8190b1bf04bf24ab8e81 completed April 19, 2026, 3:55 a.m.
Created at: April 10, 2026, 5:48 a.m.