Triple

T36497180
Position Surface form Disambiguated ID Type / Status
Subject Frank DeTorri E899221 entity
Predicate bodyServesAsSettingFor P185772 FINISHED
Object animated sequences in Osmosis Jones 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: animated sequences in Osmosis Jones | Statement: [Frank DeTorri, bodyServesAsSettingFor, animated sequences in Osmosis Jones]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bodyServesAsSettingFor
Context triple: [Frank DeTorri, bodyServesAsSettingFor, animated sequences in Osmosis Jones]
  • A. servesBody
    Indicates that one entity provides service, assistance, or benefit directly to another entity.
  • B. intendedToServe
    Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
  • C. supportsBody
    Indicates that one entity physically or structurally holds up, bears the weight of, or provides foundational stability for another entity’s body.
  • D. supportingBody
    Indicates that one entity serves as a supporting or backing body for another entity, providing endorsement, resources, or structural support.
  • E. bodyConfiguration
    Indicates the specific physical arrangement, posture, or structural setup of an entity’s body in relation to its parts or environment.
  • 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_69f76e5b92088190933afda3f7531dd4 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1b91fd88190ab85afd626603769 completed May 3, 2026, 9:44 p.m.
PDg Predicate description generation batch_69f7c3705b5c81908c84004543a71c07 completed May 3, 2026, 9:51 p.m.
Created at: May 3, 2026, 4:10 p.m.