Triple
T32966428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smikrines |
E843383
|
entity |
| Predicate | characterInTradition |
P12208
|
FINISHED |
| Object | Ancient Greek comedy |
—
|
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: Ancient Greek comedy | Statement: [Smikrines, characterInTradition, Ancient Greek comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInTradition Context triple: [Smikrines, characterInTradition, Ancient Greek comedy]
-
A.
traditionCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given tradition.
-
B.
eraInTradition
Indicates that something belongs to, occurs within, or is classified as part of a particular era as defined by a given tradition or cultural-historical framework.
-
C.
textBelongsToTradition
Indicates that a given text is associated with, derived from, or recognized as part of a particular intellectual, cultural, or religious tradition.
-
D.
characterIn
chosen
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
E.
variantTraditions
Indicates that there exist differing or alternative traditions or customary practices associated with the same subject or context.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 1, 2026, 1:21 a.m.