Triple

T14412005
Position Surface form Disambiguated ID Type / Status
Subject Tetro E357350 entity
Predicate hasSupportingRoleBy P6239 FINISHED
Object Maribel Verdú E72383 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: Maribel Verdú | Statement: [Tetro, hasSupportingRoleBy, Maribel Verdú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maribel Verdú
Context triple: [Tetro, hasSupportingRoleBy, Maribel Verdú]
  • A. Maribel Verdú chosen
    Maribel Verdú is a Spanish actress acclaimed for her work in films such as "Pan’s Labyrinth" and "Y Tu Mamá También."
  • B. Ana Torrent
    Ana Torrent is a Spanish actress best known for her acclaimed childhood performances in films like "The Spirit of the Beehive" and "Cría cuervos."
  • C. Sara Montiel
    Sara Montiel was a celebrated Spanish actress and singer who became an international film star and cultural icon in the mid-20th century.
  • D. Marta Curro
    Marta Curro is an American former actress best known as the first wife of stage and screen actor Jerry Orbach.
  • E. Paz Vega
    Paz Vega is a Spanish actress known for her roles in films such as "Sex and Lucía," "Spanglish," and various international productions.
  • 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: hasSupportingRoleBy
Context triple: [Tetro, hasSupportingRoleBy, Maribel Verdú]
  • A. supportsRole
    Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to perform or occupy a specific role.
  • B. hasNotableRoleIn
    Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
  • C. servesRole
    Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
  • D. hasAuxiliaryRole chosen
    Indicates that an entity serves in a supporting or secondary capacity to another entity or primary role.
  • E. hasBelovedRole
    Indicates that an entity holds a role or position that is deeply cherished or loved by another entity.
  • F. None of above.

Provenance (4 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bbfc6048190897f064a5686ebf8 completed May 9, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69de2aa1b57881909a033eac8545c417 completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:17 a.m.