Triple
T30131900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Dalton (name) |
E765866
|
entity |
| Predicate | hasReligiousOriginComponent |
P22741
|
FINISHED |
| Object | Michael (biblical given name) |
—
|
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: Michael (biblical given name) | Statement: [Michael Dalton (name), hasReligiousOriginComponent, Michael (biblical given name)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousOriginComponent Context triple: [Michael Dalton (name), hasReligiousOriginComponent, Michael (biblical given name)]
-
A.
hasReligiousOrigin
chosen
Indicates that something originates from, is derived from, or is fundamentally based on a religious tradition, belief system, or practice.
-
B.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
-
C.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
D.
hasReligiousSignificanceVia
Indicates that something holds religious significance specifically by means of, or through the mediation of, another entity, event, or context.
-
E.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0056174c908190be99c91a70393e47 |
completed | May 10, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_6a00538e7e08819091ecd4316cd641a1 |
completed | May 10, 2026, 9:44 a.m. |
Created at: April 29, 2026, 7:15 p.m.