Triple
T11884059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merchant (The Canterbury Tales) |
E282730
|
entity |
| Predicate | taleGenre |
P11858
|
FINISHED |
| Object | fabliau elements |
—
|
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: fabliau elements | Statement: [Merchant (The Canterbury Tales), taleGenre, fabliau elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taleGenre Context triple: [Merchant (The Canterbury Tales), taleGenre, fabliau elements]
-
A.
fictionalGenre
Indicates that a work of fiction belongs to or is categorized under a particular narrative genre or style.
-
B.
literaryGenreFamily
Indicates that one literary genre belongs to, is a subtype of, or is otherwise grouped within a broader family of related literary genres.
-
C.
fictionalTheme
Indicates that a work, element, or context is centered around or characterized by a fictional theme or motif.
-
D.
narrativeType
chosen
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
E.
fictionalMedium
Indicates that a work of fiction is presented or conveyed through a particular medium or format (such as a book, film, game, or comic).
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a02ad4819090faef0e0be732ee |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.