Triple

T21944772
Position Surface form Disambiguated ID Type / Status
Subject Virasat E541906 entity
Predicate femaleLeadCharacterPortrayedBy P6108 FINISHED
Object Tabu NE NERFINISHED

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: Tabu | Statement: [Virasat, femaleLeadCharacterPortrayedBy, Tabu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabu
Context triple: [Virasat, femaleLeadCharacterPortrayedBy, Tabu]
  • A. Tabu chosen
    Tabu is an acclaimed Indian actress known for her powerful performances in both mainstream and art-house cinema, including prominent roles in internationally recognized films.
  • B. Taboo
    Taboo is a writer best known for his work on the project "Ba Bump."
  • C. Taboo
    Taboo is a character who serves as the romantic interest of Backlash in the Wildstorm comic universe.
  • D. Taboo
    Taboo is a dark, atmospheric British television drama series set in early 19th-century London, following a mysterious adventurer entangled in political and criminal conspiracies.
  • E. Taboo
    Taboo is a film featuring German actress Franka Potente in a prominent role.
  • 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: femaleLeadCharacterPortrayedBy
Context triple: [Virasat, femaleLeadCharacterPortrayedBy, Tabu]
  • A. relationshipTypeWithFemaleLead
    Indicates the type or nature of a relationship that an entity has with a female lead.
  • B. leadActress chosen
    Indicates that the subject is the primary female performer in the specified film, show, or production.
  • C. hasLeadCharacterGender
    Indicates that the primary or lead character in a work has a specified gender.
  • D. numberOfMainFemaleLeadsInWork
    Indicates the number of primary female lead characters that appear in a given work.
  • E. characterPortrayedIs
    Indicates that one entity serves as the fictional or dramatic role that is depicted or played by another entity.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69e6f5efc208819091ed2cf6841fa600 completed April 21, 2026, 3:58 a.m.
Created at: April 16, 2026, 7:56 p.m.