Triple
T28575498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elʿāzār |
E723229
|
entity |
| Predicate | isTheophoricInReferenceTo |
P9869
|
FINISHED |
| Object | the God of Israel |
—
|
NE NERFINISHED |
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: the God of Israel | Statement: [Elʿāzār, isTheophoricInReferenceTo, the God of Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTheophoricInReferenceTo Context triple: [Elʿāzār, isTheophoricInReferenceTo, the God of Israel]
-
A.
isTheophoric
chosen
Indicates that something (typically a name or term) incorporates the name of a deity or refers explicitly to a god.
-
B.
refersToDeityName
Indicates that one entity mentions, designates, or is associated with the name of a deity.
-
C.
isPraenomenOf
Indicates that a given personal name functions as the praenomen (given name) of a specific individual.
-
D.
hasNameInReligionOrFolklore
Indicates that an entity is known by a particular name specifically within a religious or folkloric tradition.
-
E.
usesTheonym
Indicates that one entity refers to or designates another entity by using a theonym, i.e., the proper name of a deity.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 4:12 a.m.