Triple
T22085913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orville-class exploratory vessel |
E545774
|
entity |
| Predicate | narrativeGenreElement |
P11858
|
FINISHED |
| Object | space opera |
—
|
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: space opera | Statement: [Orville-class exploratory vessel, narrativeGenreElement, space opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeGenreElement Context triple: [Orville-class exploratory vessel, narrativeGenreElement, space opera]
-
A.
narrativeType
chosen
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
B.
fieldOfNarrative
Indicates that a narrative (such as a story, account, or discourse) is situated within or pertains to a particular field, domain, or area of knowledge or activity.
-
C.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
D.
narrativeCharacteristic
Indicates that one entity serves as a descriptive or defining narrative feature or quality of another entity.
-
E.
fictionalGenre
Indicates that a work of fiction belongs to or is categorized under a particular narrative genre or style.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128ba24ac819082fc4aa274553481 |
completed | April 28, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:29 p.m.