Triple
T25508292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book III (The Faerie Queene) |
E639303
|
entity |
| Predicate | targetVirtueInSpenserPlan |
P164791
|
FINISHED |
| Object | chastity |
—
|
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: chastity | Statement: [Book III (The Faerie Queene), targetVirtueInSpenserPlan, chastity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetVirtueInSpenserPlan Context triple: [Book III (The Faerie Queene), targetVirtueInSpenserPlan, chastity]
-
A.
virtuePersonifiedBy
Indicates that an abstract virtue is represented or embodied as a specific person or character.
-
B.
vowedVirtue
Indicates that an entity has formally promised or committed to uphold a particular virtue or moral quality.
-
C.
intendedVirtueSequencePosition
chosen
Indicates the position that a virtue is meant to occupy within an ordered sequence of virtues.
-
D.
focusesOnVirtue
Indicates that an action, practice, or concept is primarily concerned with cultivating or emphasizing moral virtue or virtuous character.
-
E.
virtuePraisedFor
Indicates that a particular virtue is being commended, admired, or spoken of approvingly by someone.
- 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_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 21, 2026, 2:48 p.m.