Triple

T9981531
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Edwards E196461 entity
Predicate diagnosisDate P91423 FINISHED
Object 2004-11-03 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: 2004-11-03 | Statement: [Elizabeth Edwards, diagnosisDate, 2004-11-03]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diagnosisDate
Context triple: [Elizabeth Edwards, diagnosisDate, 2004-11-03]
  • A. diagnosisYear
    Indicates the calendar year in which a diagnosis was made or recorded for an entity.
  • B. diagnosedWith
    Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
  • C. diagnoses
    Indicates that a medical professional identifies and determines the nature or cause of a condition, disease, or problem in a patient.
  • D. diagnosisMethod
    Indicates the method, procedure, or technique used to establish or confirm a diagnosis for a condition or case.
  • E. immediateCauseDate
    Indicates the specific date on which an event or condition directly caused another event or outcome to occur.
  • F. None of above. chosen

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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bb3dc481909c65c37303e44037 completed April 2, 2026, 12:30 a.m.
PD Predicate disambiguation batch_69cd1d9daa808190b413a1b9a1e929e2 completed April 1, 2026, 1:29 p.m.
PDg Predicate description generation batch_69cd358386f48190833c862b5b8c04b2 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 8:49 p.m.