Triple
T26534158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenton Meiks |
E670896
|
entity |
| Predicate | hasReligiousAttitude |
P36791
|
FINISHED |
| Object | doubts his father’s divine visions |
—
|
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: doubts his father’s divine visions | Statement: [Fenton Meiks, hasReligiousAttitude, doubts his father’s divine visions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousAttitude Context triple: [Fenton Meiks, hasReligiousAttitude, doubts his father’s divine visions]
-
A.
religiousAttitude
chosen
Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
-
B.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
C.
hasReligiousSee
Indicates that one entity serves as the ecclesiastical or religious jurisdiction/seat (see) of another entity.
-
D.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
-
E.
hasReligiousObservance
Indicates that an entity practices, observes, or participates in a particular religious rite, ceremony, or tradition.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 27, 2026, 1:37 a.m.