Triple

T18182201
Position Surface form Disambiguated ID Type / Status
Subject Anthony Geary E435315 entity
Predicate retirementAnnouncementYearFromGeneralHospital P130131 FINISHED
Object 2015 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: 2015 | Statement: [Anthony Geary, retirementAnnouncementYearFromGeneralHospital, 2015]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: retirementAnnouncementYearFromGeneralHospital
Context triple: [Anthony Geary, retirementAnnouncementYearFromGeneralHospital, 2015]
  • A. hospitalEstablishedIn
    Indicates that a hospital was founded, opened, or began operating in a specific year or time period.
  • B. expansionAnnouncementYear
    Indicates the year in which an expansion (such as a project, product, or service extension) was officially announced.
  • C. retirementYear
    Indicates the specific year in which an entity retires or is officially considered retired.
  • D. retirementDate
    Indicates the date on which an entity stops its active role or service, typically marking the end of its professional or operational period.
  • E. exitYear
    Indicates the year in which an entity leaves, finishes, or ceases its association with another entity or context.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffb3bc88190a627be9c444d5c7d completed April 19, 2026, 2 p.m.
PD Predicate disambiguation batch_69e4331e92408190ad607ba4956a3897 completed April 19, 2026, 1:42 a.m.
PDg Predicate description generation batch_69e438f684e48190b38c64b58c518b6a completed April 19, 2026, 2:07 a.m.
Created at: April 10, 2026, 10:31 a.m.