Triple
T24644776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn Umar |
E610073
|
entity |
| Predicate | viewOnOpinion |
P2235
|
FINISHED |
| Object | reluctant to use 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: reluctant to use personal opinion in law | Statement: [Ibn Umar, viewOnOpinion, reluctant to use personal opinion in law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnOpinion Context triple: [Ibn Umar, viewOnOpinion, reluctant to use personal opinion in law]
-
A.
opinionBy
chosen
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
-
B.
givesOpinionOn
Indicates that one entity expresses a view, judgment, or evaluation about another entity or subject.
-
C.
viewOnReason
Indicates that one entity holds or expresses a particular opinion, stance, or perspective about a specified reason or justification.
-
D.
viewOnPolitics
Indicates that one entity holds or expresses a particular opinion, stance, or perspective regarding political matters in relation to another entity or context.
-
E.
viewOnPolicy
Indicates a stance, opinion, or perspective that an entity holds regarding a specific policy.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:33 a.m.