Triple
T31778176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qutaybah ibn Saʿid |
E811119
|
entity |
| Predicate | sourceOfNarrationsFor |
P71455
|
FINISHED |
| Object | al-Bukhari |
—
|
NE NERFINISHED |
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: al-Bukhari | Statement: [Qutaybah ibn Saʿid, sourceOfNarrationsFor, al-Bukhari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceOfNarrationsFor Context triple: [Qutaybah ibn Saʿid, sourceOfNarrationsFor, al-Bukhari]
-
A.
narratedFrom
chosen
Indicates that an event, story, or account is told or described from the perspective or vantage point of a particular source or narrator.
-
B.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
-
C.
narratorOf
Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
-
D.
hasNarration
Indicates that an entity provides spoken or written commentary or storytelling for another entity, such as a work, event, or scene.
-
E.
settingOfNarration
Indicates the place, time, or context in which a narrated event or story takes place.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 30, 2026, 11:35 p.m.