Triple
T14750964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bear and the Maiden Fair |
E346602
|
entity |
| Predicate | diegetic |
P61040
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Bear and the Maiden Fair, diegetic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diegetic Context triple: [The Bear and the Maiden Fair, diegetic, true]
-
A.
diegeticStatus
chosen
Indicates the relationship between an element and the narrative world, specifying whether it exists within the story’s reality (perceivable by characters) or outside it (only for the audience).
-
B.
diegeticPerformer
Indicates that an entity performs within the narrative world itself, as a character or in-story performer, rather than as an external or non-diegetic contributor.
-
C.
directed
Indicates that one entity served as the director or guiding authority responsible for overseeing and controlling the actions or production involving another entity.
-
D.
dialogue
Indicates that two or more entities are engaged in an exchange of spoken or written communication with each other.
-
E.
heard
Indicates that one entity perceived a sound produced by another entity or source through hearing.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d40efc8190bb1be34c19a2b57c |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.