Triple
T38366895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Mendoza |
E892472
|
entity |
| Predicate | religiousCoverIdentity |
P202174
|
FINISHED |
| Object | silent Buddhist monk |
—
|
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: silent Buddhist monk | Statement: [Jason Mendoza, religiousCoverIdentity, silent Buddhist monk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousCoverIdentity Context triple: [Jason Mendoza, religiousCoverIdentity, silent Buddhist monk]
-
A.
religiousCounterpart
Indicates that one entity serves as the religious equivalent or analogue of another entity within a different belief system or tradition.
-
B.
religiousClaim
Indicates that an entity asserts, expresses, or is associated with a statement or belief grounded in religion or spiritual doctrine.
-
C.
reveredByReligion
Indicates that a religion holds a particular entity in high esteem, veneration, or sacred regard.
-
D.
representsIslamicIdentity
Indicates that an entity embodies, expresses, or is associated with Islamic religious, cultural, or communal identity.
-
E.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a005be4615c8190a710ab704a46c564 |
completed | May 10, 2026, 10:20 a.m. |
| PD | Predicate disambiguation | batch_6a005b8b1cc08190850a392761b84e74 |
completed | May 10, 2026, 10:18 a.m. |
| PDg | Predicate description generation | batch_6a005be3afb481908a2a4646e41e1004 |
completed | May 10, 2026, 10:20 a.m. |
Created at: May 3, 2026, 4:31 p.m.