Triple
T1324189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanbali school |
E28287
|
entity |
| Predicate | attitudeToRa’y |
P26537
|
FINISHED |
| Object | suspicious of personal opinion in law |
—
|
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: suspicious of personal opinion in law | Statement: [Hanbali school, attitudeToRa’y, suspicious of personal opinion in law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeToRa’y Context triple: [Hanbali school, attitudeToRa’y, suspicious of personal opinion in law]
-
A.
attitudeToSectarianism
Indicates an entity’s stance or disposition toward sectarianism, such as support, opposition, or neutrality.
-
B.
aspect
Indicates a specific temporal phase or manner in which an action, event, or state unfolds or is viewed (e.g., ongoing, completed, habitual).
-
C.
orientation
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
-
D.
declination
Indicates the angular deviation of one direction or object from a reference plane or axis, typically measuring how far it is tilted or offset.
-
E.
attitudeTowardDiversity
Indicates a stance, feeling, or evaluation that an entity holds regarding diversity or diverse groups.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19e81c0819092f85201ae34422a |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beedb49c8190beb5b85cdda05013 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf8158ac8190b8360ecccc2980bc |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:55 p.m.