Triple
T30745400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epistle to the Son of the Wolf |
E782802
|
entity |
| Predicate | widerAudience |
P170090
|
FINISHED |
| Object | Muslim clergy |
—
|
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: Muslim clergy | Statement: [Epistle to the Son of the Wolf, widerAudience, Muslim clergy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: widerAudience Context triple: [Epistle to the Son of the Wolf, widerAudience, Muslim clergy]
-
A.
widerUsage
Indicates that one entity is used or applied more broadly, frequently, or in a greater variety of contexts than another.
-
B.
isFamilyFriendly
Indicates that something is suitable for all ages and does not contain content inappropriate for children or sensitive audiences.
-
C.
typicalAudience
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
-
D.
general
Indicates that one entity has a broad, non-specific, or overarching relationship or association with another entity.
-
E.
wg
Indicates a generic or unspecified relationship between entities whose specific meaning is not defined by the predicate label "wg" alone.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f6cba0c8190a02288899be05007 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:38 p.m.