Triple
T15693360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcestis |
E380389
|
entity |
| Predicate | literaryTypeRole |
P15535
|
FINISHED |
| Object | tragic heroine |
—
|
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: tragic heroine | Statement: [Alcestis, literaryTypeRole, tragic heroine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryTypeRole Context triple: [Alcestis, literaryTypeRole, tragic heroine]
-
A.
literaryRole
chosen
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
B.
literaryThemeInvolvement
Indicates the involvement or presence of a particular literary theme within a work, passage, or character arc.
-
C.
genreRole
Indicates a relationship where an entity holds a specific functional or categorical role within a particular genre.
-
D.
literaryGenreOfWork
Indicates that a work belongs to or is classified under a particular literary genre.
-
E.
dramaticStructureRole
Indicates the specific function or role an element plays within the overall dramatic structure of a narrative or performance.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:44 a.m.