Triple

T5957513
Position Surface form Disambiguated ID Type / Status
Subject Gebelawi E132552 entity
Predicate controversyContext P28841 FINISHED
Object contributed to accusations of blasphemy against the novel 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: contributed to accusations of blasphemy against the novel | Statement: [Gebelawi, controversyContext, contributed to accusations of blasphemy against the novel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controversyContext
Context triple: [Gebelawi, controversyContext, contributed to accusations of blasphemy against the novel]
  • A. controversy
    Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
  • B. controversyType
    Indicates the specific kind or category of controversy associated with an entity or situation.
  • C. controversialBecause
    Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
  • D. locationOfControversy
    Indicates the place or setting where a dispute, debate, or controversy occurs or is centered.
  • E. roleInControversy chosen
    Indicates the specific part, involvement, or function an entity has within a particular controversy or disputed situation.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03fb7f8a88190a8bd45208bda4a03 completed March 22, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69c0335a635881909c58c1ef0f97f1e8 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:02 p.m.