Triple

T36512368
Position Surface form Disambiguated ID Type / Status
Subject Fatima E899940 entity
Predicate isLinkedToHistoricalFigure P26467 FINISHED
Object daughter of the Prophet Muhammad 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: daughter of the Prophet Muhammad | Statement: [Fatima, isLinkedToHistoricalFigure, daughter of the Prophet Muhammad]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLinkedToHistoricalFigure
Context triple: [Fatima, isLinkedToHistoricalFigure, daughter of the Prophet Muhammad]
  • A. basedOnHistoricalFigure
    Indicates that something is derived from, inspired by, or modeled after a real historical person.
  • B. historicalFigureAssociated chosen
    Indicates that there is a notable connection or linkage between an entity and a historical figure, such as influence, collaboration, representation, or involvement in the figure’s life or legacy.
  • C. addressesHistoricalFigure
    Indicates that one entity directly speaks or writes to a person recognized as a historical figure.
  • D. historicalFigure
    Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
  • E. favoriteHistoricalFigure
    Indicates that one entity is the historical person whom another entity likes or admires the most.
  • 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_69f76e5dada881909da2d34bc7a9202a 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.
Created at: May 3, 2026, 4:10 p.m.