Triple
T5723282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarpedon |
E126199
|
entity |
| Predicate | hasMythVariant |
P62913
|
FINISHED |
| Object | son of Zeus and Europa |
—
|
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: son of Zeus and Europa | Statement: [Sarpedon, hasMythVariant, son of Zeus and Europa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMythVariant Context triple: [Sarpedon, hasMythVariant, son of Zeus and Europa]
-
A.
hasMythType
Indicates that an entity is associated with or classified under a particular type or category of myth.
-
B.
mythVariant
chosen
Indicates that one mythological narrative is a version, retelling, or alternative form of another myth.
-
C.
hasMythSource
Indicates that something derives from, is based on, or is supported by a particular myth or mythological source.
-
D.
hasMythicMotif
Indicates that one entity features, embodies, or is associated with a particular mythic motif found in the other entity.
-
E.
hasMythicTheme
Indicates that something embodies, references, or is characterized by a mythic or mythological theme.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.