Triple

T26317641
Position Surface form Disambiguated ID Type / Status
Subject Anderson v. Cryovac E662015 entity
Predicate healthEffectAlleged P65298 FINISHED
Object childhood leukemia 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: childhood leukemia | Statement: [Anderson v. Cryovac, healthEffectAlleged, childhood leukemia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: healthEffectAlleged
Context triple: [Anderson v. Cryovac, healthEffectAlleged, childhood leukemia]
  • A. healthEffect
    Indicates the impact or consequence that one entity has on the health or well-being of another.
  • B. allegedInjury chosen
    Indicates that an injury is claimed or asserted to have occurred, typically without being legally or factually established.
  • C. healthTheme
    Indicates that the subject is associated with, focuses on, or is characterized by a particular health-related topic or theme.
  • D. healthAssociation
    Indicates a relationship where one factor, condition, or entity is linked to an effect, outcome, or status related to health.
  • E. healthRationale
    Indicates the reasoning or justification behind an assessment, decision, or action related to health.
  • 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_69ee812e73048190aae587f1d51e5a06 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60f28e9588190b76581e150f4f27d completed May 2, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69f602d2ec748190ae95154f34c7878f completed May 2, 2026, 1:57 p.m.
Created at: April 26, 2026, 10:26 p.m.