Triple
T19083687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polydorus |
E467089
|
entity |
| Predicate | transformationMotif |
P134310
|
FINISHED |
| Object | body discovered as washed-up corpse |
—
|
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: body discovered as washed-up corpse | Statement: [Polydorus, transformationMotif, body discovered as washed-up corpse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformationMotif Context triple: [Polydorus, transformationMotif, body discovered as washed-up corpse]
-
A.
featuresMotif
Indicates that something contains, incorporates, or prominently includes a particular recurring motif or pattern.
-
B.
reverseMotif
Indicates that one motif is the reversed or inverted form of another motif in structure, order, or direction.
-
C.
usesMotifsFrom
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
D.
featuresTransformationOf
Indicates that something includes or presents a transformation or change applied to another entity.
-
E.
openingMotifDescription
Indicates a description of the initial recurring musical or thematic idea that begins a work or section.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34600f88190bd96bcc2c5c08d14 |
completed | April 20, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.