Triple
T25508349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book V (The Faerie Queene) |
E639304
|
entity |
| Predicate | centralKnight |
P164993
|
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), centralKnight, Artegall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralKnight Context triple: [Book V (The Faerie Queene), centralKnight, Artegall]
-
A.
kingIsInviolable
Indicates that the king is protected from harm, violation, or infringement, often implying legal or moral immunity from certain actions.
-
B.
laterNumberOfKnights
Indicates that one entity has a greater (later or higher) number of knights than another entity in a comparative context.
-
C.
opponentKing
Indicates that one entity is the king belonging to the opposing or rival side of the other entity.
-
D.
positionOnKing
Indicates that one entity occupies a specific positional relationship relative to a king in a given context.
-
E.
knightTincture
Indicates that a knight in a coat of arms bears a specified heraldic color or pattern (tincture).
- F. None of above. chosen
Provenance (4 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_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 21, 2026, 2:48 p.m.