Triple
T25508330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book V (The Faerie Queene) |
E639304
|
entity |
| Predicate | featuresCompanionOfArtegall |
P48101
|
FINISHED |
| Object | Talus |
—
|
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: Talus | Statement: [Book V (The Faerie Queene), featuresCompanionOfArtegall, Talus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCompanionOfArtegall Context triple: [Book V (The Faerie Queene), featuresCompanionOfArtegall, Talus]
-
A.
featuresCompanion
chosen
Indicates that one entity includes, presents, or is accompanied by another entity in a supporting or secondary role.
-
B.
featuresArtifactsFrom
Indicates that one entity includes, presents, or showcases artifacts that originate from or are associated with another entity.
-
C.
featuresArtifact
Indicates that one entity prominently includes, presents, or showcases another entity as an artifact.
-
D.
featuresItem
Indicates that one entity includes, presents, or highlights another entity as a notable item or component.
-
E.
hasArtFeature
Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
- 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_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 21, 2026, 2:48 p.m.