Triple
T28790153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaʿfar ibn Abi Talib |
E726927
|
entity |
| Predicate | virtueCategory |
P165794
|
FINISHED |
| Object | zuhd (asceticism) |
—
|
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: zuhd (asceticism) | Statement: [Jaʿfar ibn Abi Talib, virtueCategory, zuhd (asceticism)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: virtueCategory Context triple: [Jaʿfar ibn Abi Talib, virtueCategory, zuhd (asceticism)]
-
A.
virtue
Indicates that an entity possesses or exemplifies a morally good quality, trait, or behavior.
-
B.
virtuePraisedFor
Indicates that a particular virtue is being commended, admired, or spoken of approvingly by someone.
-
C.
virtuePromoted
Indicates that one entity actively encourages, supports, or increases the presence or practice of a particular virtue in another entity or context.
-
D.
virtuePersonifiedBy
Indicates that an abstract virtue is represented or embodied as a specific person or character.
-
E.
focusesOnVirtue
Indicates that an action, practice, or concept is primarily concerned with cultivating or emphasizing moral virtue or virtuous character.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a6babcc81908052c9907a99c882 |
completed | May 2, 2026, 8:11 p.m. |
Created at: April 28, 2026, 6:23 a.m.