Triple
T38236758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezekiel 40 |
E1013638
|
entity |
| Predicate | visionSource |
P190191
|
FINISHED |
| Object | a man whose appearance was like bronze |
—
|
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: a man whose appearance was like bronze | Statement: [Ezekiel 40, visionSource, a man whose appearance was like bronze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visionSource Context triple: [Ezekiel 40, visionSource, a man whose appearance was like bronze]
-
A.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
B.
favoriteStore
Indicates that one entity is the preferred or most liked store of another entity.
-
C.
ultimateSource
Indicates that one entity is the original, foundational origin from which another entity ultimately derives.
-
D.
visionDate
Indicates the date on which a particular vision, plan, or conceptual idea was created, recorded, or formally established.
-
E.
viewOnSin
Indicates a person's stance, opinion, or doctrinal position regarding what constitutes sin or sinful behavior.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc330b4288190858b49d986160706 |
completed | May 7, 2026, 4:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.