Triple

T29300089
Position Surface form Disambiguated ID Type / Status
Subject Madras Talkies E742933 entity
Predicate frequentActorCollaborator P129005 FINISHED
Object Arvind Swamy 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: Arvind Swamy | Statement: [Madras Talkies, frequentActorCollaborator, Arvind Swamy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: frequentActorCollaborator
Context triple: [Madras Talkies, frequentActorCollaborator, Arvind Swamy]
  • A. frequentlyCollaboratedWith chosen
    Indicates that two entities have worked together on shared activities or projects on a recurring or regular basis.
  • B. frequentCinematographerCollaborator
    Indicates a relationship where a cinematographer regularly works with or repeatedly collaborates on projects with the same director or creative partner.
  • C. partnerInActWith
    Indicates that two or more entities jointly participate as partners in carrying out the same act or action.
  • D. primaryCollaborator
    Indicates that one entity serves as the main or most significant partner working jointly with another entity on a shared activity, project, or goal.
  • E. collaboratorRole
    Indicates the specific function, position, or capacity in which one collaborator participates in a shared activity or project with another.
  • 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_69f09123ed9881909f351f7541933f5e completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f674e06c9481909ed0ea736408f0d7 completed May 2, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69f673c4abec8190bc2379e66f4af0a9 completed May 2, 2026, 9:59 p.m.
Created at: April 28, 2026, 1:09 p.m.