Triple

T1324148
Position Surface form Disambiguated ID Type / Status
Subject Aisha bint Abi Bakr E28286 entity
Predicate rankAmongNarrators P4846 FINISHED
Object one of the most prolific female hadith narrators 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: one of the most prolific female hadith narrators | Statement: [Aisha bint Abi Bakr, rankAmongNarrators, one of the most prolific female hadith narrators]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankAmongNarrators
Context triple: [Aisha bint Abi Bakr, rankAmongNarrators, one of the most prolific female hadith narrators]
  • A. narratorOf
    Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
  • B. numberOfNarrators
    Indicates the quantity of distinct narrators associated with a given work or narrative.
  • C. rankedBy chosen
    Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
  • D. narratorRole
    Indicates that one entity serves as the narrator of another entity (such as a story, text, or media work), specifying the narrative role or function it performs.
  • E. narratorTitle
    Indicates that a given title or designation is held by the narrator of a work or narrative.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19caa148190a1f5be734b7d9005 completed March 1, 2026, 10:45 p.m.
PD Predicate disambiguation batch_69a4beedb49c8190beb5b85cdda05013 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:55 p.m.