Triple
T9111376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potiphar's wife |
E218607
|
entity |
| Predicate | nameInBiblicalText |
P7172
|
FINISHED |
| Object | not given |
—
|
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: not given | Statement: [Potiphar's wife, nameInBiblicalText, not given]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameInBiblicalText Context triple: [Potiphar's wife, nameInBiblicalText, not given]
-
A.
biblicalName
chosen
Indicates that one entity is the name of a person, place, or concept as it appears in the Bible.
-
B.
numberInBiblicalText
Indicates that a specific number appears within, or is referenced by, a given passage or unit of biblical text.
-
C.
nameInAkkadian
Indicates that an entity is referred to by a specific name when written or spoken in the Akkadian language.
-
D.
nameInSanskrit
Indicates that one entity is the name or designation of another entity when expressed in the Sanskrit language.
-
E.
nameInPhoenician
Indicates the representation of an entity’s name when written in the Phoenician language or script.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca847102881908f9d86ce9883fb1a |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.