Triple
T3835044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph |
E91108
|
entity |
| Predicate | roleInIslamicTradition |
P26930
|
FINISHED |
| Object | model of righteous conduct |
—
|
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: model of righteous conduct | Statement: [Joseph, roleInIslamicTradition, model of righteous conduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInIslamicTradition Context triple: [Joseph, roleInIslamicTradition, model of righteous conduct]
-
A.
roleInIslamicLaw
Indicates the specific function, status, or authority an entity holds within the framework of Islamic legal principles and institutions.
-
B.
roleInIslamicHistory
Indicates the specific function, status, or contribution an entity has within the context of Islamic historical events, periods, or developments.
-
C.
roleInQuranHistory
Indicates a relationship where an entity holds or plays a specific role within the historical events, narratives, or context presented in the Quran.
-
D.
positionInIslam
chosen
Indicates the specific religious role, rank, or status an entity holds within the context of Islam.
-
E.
religiousTextRole
Indicates the specific role or function that a religious text has in relation to a person, group, practice, 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb9a27508190b05e5312cc7c8033 |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.