Triple
T5336701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agenor |
E123843
|
entity |
| Predicate | mythVariant |
P62913
|
FINISHED |
| Object | sometimes described as son of Poseidon and Libya |
—
|
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: sometimes described as son of Poseidon and Libya | Statement: [Agenor, mythVariant, sometimes described as son of Poseidon and Libya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mythVariant Context triple: [Agenor, mythVariant, sometimes described as son of Poseidon and Libya]
-
A.
mythologized
Indicates that one entity has been turned into or treated as a mythic, legendary, or highly idealized figure or story by another.
-
B.
settingOfMyth
Indicates that a location or environment serves as the backdrop or context in which a particular myth takes place.
-
C.
expandsMythologyOf
Indicates that one entity broadens, enriches, or adds new elements to the mythological background or lore associated with another entity.
-
D.
originMyth
Indicates the traditional myth or legendary narrative that explains the beginnings or creation of a people, place, institution, or phenomenon.
-
E.
usesMythOf
Indicates that one entity employs or invokes a myth or mythical narrative about another entity as part of its actions, explanations, or representations.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85b104c081908b81236a0142e1c8 |
completed | March 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8501d53c81908371bd5195ba5703 |
completed | March 20, 2026, 5:33 p.m. |
Created at: March 20, 2026, 2 p.m.