Triple
T36145199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viola (Twelfth Night) |
E1045427
|
entity |
| Predicate | intertextualRole |
P11527
|
FINISHED |
| Object | archetype of the cross-dressed 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: archetype of the cross-dressed heroine | Statement: [Viola (Twelfth Night), intertextualRole, archetype of the cross-dressed heroine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intertextualRole Context triple: [Viola (Twelfth Night), intertextualRole, archetype of the cross-dressed heroine]
-
A.
intertextualRelation
Indicates a relationship in which one text references, echoes, or otherwise meaningfully connects to another text.
-
B.
interpretiveRole
Indicates that one entity serves as an interpretive function or perspective through which another entity is understood, explained, or given meaning.
-
C.
inNarrativeRole
Indicates that one entity participates in relation to another by occupying a specific narrative function or role within a story or discourse.
-
D.
roleInText
chosen
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
E.
internCharacter
Indicates that one entity serves as an intern in relation to another entity, typically an organization, program, or supervising individual.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: May 3, 2026, 4:08 p.m.