Triple

T10324036
Position Surface form Disambiguated ID Type / Status
Subject Ricky "Jupe" Park E242712 entity
Predicate endangers P16824 FINISHED
Object Jupiter's Claim audience 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: Jupiter's Claim audience | Statement: [Ricky "Jupe" Park, endangers, Jupiter's Claim audience]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: endangers
Context triple: [Ricky "Jupe" Park, endangers, Jupiter's Claim audience]
  • A. endangerment chosen
    Indicates a relationship in which one entity exposes another to potential harm, risk, or danger.
  • B. threatenedBy
    Indicates that one entity poses a danger or potential harm to another entity.
  • C. dangerousWhen
    Indicates that one entity becomes harmful, risky, or unsafe under the conditions or in the presence of another entity or situation.
  • D. dangerWarning
    Indicates that one entity issues or represents a warning about potential danger associated with another entity or situation.
  • E. inDangerSince
    Indicates that an entity has been in a state of danger continuously starting from a specified point in time.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69d4d1f64a648190a79980d647898eb0 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:51 a.m.