Triple
T25508350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book V (The Faerie Queene) |
E639304
|
entity |
| Predicate | virtuePersonifiedBy |
P158611
|
FINISHED |
| Object | Artegall |
—
|
NE NERFINISHED |
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: Artegall | Statement: [Book V (The Faerie Queene), virtuePersonifiedBy, Artegall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: virtuePersonifiedBy Context triple: [Book V (The Faerie Queene), virtuePersonifiedBy, Artegall]
-
A.
virtuePersonifiedBy
chosen
Indicates that an abstract virtue is represented or embodied as a specific person or character.
-
B.
virtuePraisedFor
Indicates that a particular virtue is being commended, admired, or spoken of approvingly by someone.
-
C.
virtue
Indicates that an entity possesses or exemplifies a morally good quality, trait, or behavior.
-
D.
virtuePromoted
Indicates that one entity actively encourages, supports, or increases the presence or practice of a particular virtue in another entity or context.
-
E.
virtueIllustrated
Indicates that an action, example, or situation serves to demonstrate or make clear a particular virtue.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f80749f88190a5c2a70e7370003b |
completed | May 2, 2026, 1:11 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:48 p.m.