Triple
T27717555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | hadith of Aisha |
E698862
|
entity |
| Predicate | hasNarratorGender |
P186354
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [hadith of Aisha, hasNarratorGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNarratorGender Context triple: [hadith of Aisha, hasNarratorGender, female]
-
A.
hasCommonEarlierNarratorGender
Indicates that two narrative segments share at least one earlier narrator who has the same gender in both.
-
B.
narratorType
Indicates the narrative perspective or role from which a story or account is being told.
-
C.
hasGenderedSpeech
Indicates that an entity uses or is associated with speech forms that vary according to gender.
-
D.
hasCoNarrator
Indicates that two or more entities share the role of narrating the same work, event, or story together.
-
E.
narratorOf
Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
- F. None of above. chosen
Provenance (4 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_69ef591012dc8190a6f1ec994f9f7ff7 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: April 27, 2026, 3:05 p.m.