Triple
T13473526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fawkes |
E318188
|
entity |
| Predicate | blinds |
P22656
|
FINISHED |
| Object | basilisk in the Chamber of Secrets |
—
|
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: basilisk in the Chamber of Secrets | Statement: [Fawkes, blinds, basilisk in the Chamber of Secrets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blinds Context triple: [Fawkes, blinds, basilisk in the Chamber of Secrets]
-
A.
hasDraperies
Indicates that one entity is furnished with or contains draperies (such as curtains or hanging fabric coverings).
-
B.
glazingType
Indicates the type or configuration of glazing (such as single, double, or special coatings) used in or applied to an element.
-
C.
windowMaterial
Indicates the material from which a window is made or constructed.
-
D.
blindedBy
chosen
Indicates that one entity causes another to lose the ability to see or perceive clearly, either literally or metaphorically.
-
E.
windowShutterColor
Indicates the color attribute assigned to a window’s shutter in the relationship.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2447bc81908baf1f4b55095144 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.