Triple
T21029125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ινώ |
E518017
|
entity |
| Predicate | roleWithDionysus |
P142536
|
FINISHED |
| Object | nurse of infant Dionysus in some traditions |
—
|
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: nurse of infant Dionysus in some traditions | Statement: [Ινώ, roleWithDionysus, nurse of infant Dionysus in some traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithDionysus Context triple: [Ινώ, roleWithDionysus, nurse of infant Dionysus in some traditions]
-
A.
roleInTauris
Indicates that an entity has a specific role or function within the context of Tauris (e.g., a work, setting, or domain associated with Tauris).
-
B.
roleInApollo
Indicates that an entity holds or held a specific role or position within the Apollo program or an Apollo mission.
-
C.
roleInTheOmegaCode
Indicates that an entity holds a specific role or function within the context of "The Omega Code" (such as its story, production, or related project).
-
D.
roleInTheology
Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
-
E.
roleInAnalects
Indicates that one entity has a specific role, function, or status within the context of the Analects.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7fd3ec81908ac237047f9b0d7a |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:55 p.m.