Triple

T36864492
Position Surface form Disambiguated ID Type / Status
Subject Ray Singh E911032 entity
Predicate continuesToCareAbout P117343 FINISHED
Object Susie Salmon after her death 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: Susie Salmon after her death | Statement: [Ray Singh, continuesToCareAbout, Susie Salmon after her death]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: continuesToCareAbout
Context triple: [Ray Singh, continuesToCareAbout, Susie Salmon after her death]
  • A. caresMoreAbout
    Indicates that one entity has a stronger level of concern, interest, or emotional investment in another entity or thing than in some alternative reference.
  • B. continuedAsCaretaker chosen
    Indicates that an entity maintained an existing caretaker role or responsibility over another entity without interruption.
  • C. stillInvolvedIn
    Indicates that an entity continues to participate in or be associated with a particular activity, role, or relationship at the present time.
  • D. continuedRelevanceIn
    Indicates that something maintains its significance, applicability, or impact within a specified context, domain, or time period.
  • E. careContinuum
    Indicates a relationship in which care or services are provided in a coordinated, continuous manner across different stages, settings, or levels of support.
  • 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_69f76e80f6f0819091cba8e19b269615 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd864235b481908738dbb69556bc62 completed May 8, 2026, 6:44 a.m.
PD Predicate disambiguation batch_69fd8373b6bc819091c554f29ee17fec completed May 8, 2026, 6:32 a.m.
Created at: May 3, 2026, 4:13 p.m.