Triple

T35047022
Position Surface form Disambiguated ID Type / Status
Subject Sanjeev and Twinkle E1011226 entity
Predicate featuredInCollection P82218 FINISHED
Object Interpreter of Maladies E62699 NE 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: Interpreter of Maladies | Statement: [Sanjeev and Twinkle, featuredInCollection, Interpreter of Maladies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuredInCollection
Context triple: [Sanjeev and Twinkle, featuredInCollection, Interpreter of Maladies]
  • A. featuredIn
    Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
  • B. featuredOn
    Indicates that one entity is prominently presented, highlighted, or showcased on or within another entity (such as a platform, publication, or product).
  • C. displayedInCollection chosen
    Indicates that an item is or was shown as part of a particular collection or exhibition grouping.
  • D. includedInCollectionAbout
    Indicates that an item is part of, or contained within, a collection whose organizing theme or subject is about a specified entity or topic.
  • E. featuredFor
    Indicates that one entity is highlighted, promoted, or specially showcased in the context or for the benefit of 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_69f76dcfdda48190b1ebae5da8b54f12 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37fb028ac0819086de8c9249382258 completed June 21, 2026, 2:53 p.m.
PD Predicate disambiguation batch_6a037a016960819093ed4990fb4d9d36 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:01 p.m.