Triple
T10911775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily St. Aubert |
E257717
|
entity |
| Predicate | romanticGenreRole |
P32515
|
FINISHED |
| Object | persecuted 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: persecuted heroine | Statement: [Emily St. Aubert, romanticGenreRole, persecuted heroine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: romanticGenreRole Context triple: [Emily St. Aubert, romanticGenreRole, persecuted heroine]
-
A.
genreRole
chosen
Indicates a relationship where an entity holds a specific functional or categorical role within a particular genre.
-
B.
romanticArc
Indicates a developing or ongoing romantic relationship or storyline between the involved entities.
-
C.
musicalRole
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
D.
literaryRole
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
E.
protagonistLover
Indicates that one entity is the romantic partner or love interest of the story’s protagonist.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.