Triple
T1236538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corinth |
E26560
|
entity |
| Predicate | hasMythicMotif |
P24832
|
FINISHED |
| Object | clever mortal outwitting divine powers |
—
|
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: clever mortal outwitting divine powers | Statement: [Corinth, hasMythicMotif, clever mortal outwitting divine powers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMythicMotif Context triple: [Corinth, hasMythicMotif, clever mortal outwitting divine powers]
-
A.
hasMythType
Indicates that an entity is associated with or classified under a particular type or category of myth.
-
B.
hasIconicArtifact
Indicates that an entity possesses or is associated with a distinctive, emblematic artifact that represents its identity, history, or significance.
-
C.
hasMythSource
Indicates that something derives from, is based on, or is supported by a particular myth or mythological source.
-
D.
hasMystery
Indicates that one entity possesses, contains, or is associated with something unknown, secret, or unexplained in relation to another entity.
-
E.
hasRitualObject
Indicates that an entity possesses, uses, or is associated with an object specifically employed in a ritual or ceremonial context.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf17e0bc8190a066561e6b629fc0 |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb67d52c8190815d6356b79d6ed5 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbf83584819088c69366f58586cc |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:47 p.m.