Triple
T31420195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annia Galeria Faustina |
E801508
|
entity |
| Predicate | wasDeifiedBy |
P171852
|
FINISHED |
| Object | Antoninus Pius |
—
|
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: Antoninus Pius | Statement: [Annia Galeria Faustina, wasDeifiedBy, Antoninus Pius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasDeifiedBy Context triple: [Annia Galeria Faustina, wasDeifiedBy, Antoninus Pius]
-
A.
deified
Indicates that an entity is regarded, treated, or elevated as a god or divine being.
-
B.
deifiedFormOf
Indicates that one entity is the deified or god-like form or manifestation of another entity.
-
C.
worshipedAs
Indicates that one entity regards and treats another as a deity or sacred figure, offering reverence, devotion, or religious honor.
-
D.
servedDeity
Indicates that one entity acted in service, devotion, or worship toward a particular deity.
-
E.
isWorshippedFor
Indicates that one entity is revered or honored by another specifically because of a particular quality, deed, or attribute.
- 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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 30, 2026, 8:47 p.m.