Triple

T5875322
Position Surface form Disambiguated ID Type / Status
Subject Selena Gomez E130611 entity
Predicate hasMedicalProcedure P53036 FINISHED
Object kidney transplant LITERAL 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: kidney transplant | Statement: [Selena Gomez, hasMedicalProcedure, kidney transplant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMedicalProcedure
Context triple: [Selena Gomez, hasMedicalProcedure, kidney transplant]
  • A. hadProcedure chosen
    Indicates that a subject underwent or received a specific medical or clinical procedure.
  • B. hasSurgery
    Indicates that a surgical procedure is performed on or undergone by an entity.
  • C. operatedOn
    Indicates that one entity has performed a surgical or procedural operation on another entity.
  • D. hasHistoryOf
    Indicates that an entity has a documented prior occurrence or background of a specified condition, event, or state.
  • E. publicConsultationHeld
    Indicates that a formal public consultation process has been conducted regarding a particular decision, policy, or project.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0432fea5881909f5c291dd8db6105 completed March 22, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69c033499ca08190bd26cee5b03f6306 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:57 p.m.