Triple
T30818477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn Hajar al-Asqalani |
E784850
|
entity |
| Predicate | genreOfFathAlBari |
P87617
|
FINISHED |
| Object | hadith commentary |
—
|
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: hadith commentary | Statement: [Ibn Hajar al-Asqalani, genreOfFathAlBari, hadith commentary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfFathAlBari Context triple: [Ibn Hajar al-Asqalani, genreOfFathAlBari, hadith commentary]
-
A.
genreOfProducedWorks
chosen
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
B.
bearerGenre
Indicates that an entity (the bearer) is associated with or characterized by a particular genre.
-
C.
isCreativeWorkOfGenre
Indicates that a creative work belongs to, or is categorized under, a particular genre.
-
D.
basedInGenreTradition
Indicates that something (such as a work or practice) is grounded in, follows, or is shaped by the conventions and traditions of a particular genre.
-
E.
religiousGenre
Indicates that the subject is associated with or categorized under a religious genre, style, or tradition.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 8:44 p.m.