Triple
T30818542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muwatta Malik |
E784852
|
entity |
| Predicate | notableRecension |
P62796
|
FINISHED |
| Object |
Yahya al-Laythi’s recension
Yahya al-Laythi’s recension is the most widely transmitted and influential version of Imam Malik’s Muwatta, serving as a primary reference for Maliki jurisprudence.
|
E1932827
|
NE FINISHED |
How this triple was built (3 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: Yahya al-Laythi’s recension | Statement: [Muwatta Malik, notableRecension, Yahya al-Laythi’s recension]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yahya al-Laythi’s recension Triple: [Muwatta Malik, notableRecension, Yahya al-Laythi’s recension]
Generated description
Yahya al-Laythi’s recension is the most widely transmitted and influential version of Imam Malik’s Muwatta, serving as a primary reference for Maliki jurisprudence.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRecension Context triple: [Muwatta Malik, notableRecension, Yahya al-Laythi’s recension]
-
A.
notableReception
Indicates that something has received significant attention, recognition, or response from audiences, critics, or the public.
-
B.
notablePraise
Indicates that one entity has given significant or distinguished praise or commendation to another entity.
-
C.
notableFavorite
Indicates that one entity is a particularly prominent or distinguished favorite of another entity compared to other possible favorites.
-
D.
hasRecension
chosen
Indicates that one textual version or edition is a revised or alternative form of another text.
-
E.
notableImpression
Indicates that one entity has made a significant or memorable impact on another entity.
- F. None of above.
Provenance (6 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_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28bbe5a41481908df831b3362acac4 |
completed | June 10, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a28bca6faf881908b5254e8071d33fe |
completed | June 10, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28bd2670f08190a759af462117aec1 |
completed | June 10, 2026, 1:25 a.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:44 p.m.