Triple
T19723566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am That I Am |
E473666
|
entity |
| Predicate | SeptuagintRendering |
P137082
|
FINISHED |
| Object | ἐγώ εἰμι ὁ ὤν |
—
|
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: ἐγώ εἰμι ὁ ὤν | Statement: [I Am That I Am, SeptuagintRendering, ἐγώ εἰμι ὁ ὤν]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SeptuagintRendering Context triple: [I Am That I Am, SeptuagintRendering, ἐγώ εἰμι ὁ ὤν]
-
A.
differenceFromSeptuagint
Indicates that one text or reading differs in some way from the version found in the Septuagint.
-
B.
numberingInSeptuagintVulgate
Indicates that the entity uses the chapter or verse numbering system as found in the Septuagint and Vulgate traditions.
-
C.
usedScriptureTranslation
Indicates that one entity employed or relied on a particular translation of scripture in its actions, works, or communications.
-
D.
scriptureTypeTranslated
Indicates that a scripture or sacred text has been translated into a particular type, version, or format.
-
E.
scriptureTranslatedBy
Indicates that a particular scripture has been translated by a specific agent (such as a person, group, or organization).
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f64984819097882c44098b1643 |
completed | April 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.