Triple

T38298836
Position Surface form Disambiguated ID Type / Status
Subject Kyle Broflovski E1032166 entity
Predicate religiousConflictTheme P152622 FINISHED
Object Jewish identity 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: Jewish identity | Statement: [Kyle Broflovski, religiousConflictTheme, Jewish identity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousConflictTheme
Context triple: [Kyle Broflovski, religiousConflictTheme, Jewish identity]
  • A. religiousConflictBetween
    Indicates a relationship where two entities are in opposition or dispute due to differing religious beliefs, practices, or affiliations.
  • B. religiousConflictPeriod
    Indicates a period of time during which conflicts or hostilities occur that are primarily motivated or structured by religious differences or tensions.
  • C. religiousStruggle chosen
    Indicates a conflict, tension, or hardship someone experiences related to their religious beliefs, practices, or identity.
  • D. loreConflict
    Indicates that there is an inconsistency, contradiction, or incompatibility between pieces of lore or canonical information.
  • E. politicalConflict
    Indicates a relationship where entities are engaged in opposing political positions, struggles, or disputes, often involving competition for power, influence, or policy outcomes.
  • 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_69f76e0f2084819091299d021625c3fe completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a0056174c908190be99c91a70393e47 completed May 10, 2026, 9:55 a.m.
PD Predicate disambiguation batch_6a00538e7e08819091ecd4316cd641a1 completed May 10, 2026, 9:44 a.m.
Created at: May 3, 2026, 4:30 p.m.