Triple
T5192631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filch's Emporium of Confiscated Goods |
E117192
|
entity |
| Predicate | merchandiseTheme |
P20708
|
FINISHED |
| Object | confiscated items |
—
|
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: confiscated items | Statement: [Filch's Emporium of Confiscated Goods, merchandiseTheme, confiscated items]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: merchandiseTheme Context triple: [Filch's Emporium of Confiscated Goods, merchandiseTheme, confiscated items]
-
A.
franchiseTheme
Indicates that one entity has a thematic style, branding, or concept derived from or associated with a particular franchise.
-
B.
hasMerchandiseTieIn
Indicates that one entity has a commercial or promotional product or line (merchandise) that is directly tied to, branded with, or derived from another entity.
-
C.
themedAs
chosen
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
D.
mascotTheme
Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
-
E.
designsFor
Indicates that one entity creates or plans something specifically intended to serve, suit, or be used by another entity.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79efd16c8190b0b16278a00baecd |
completed | March 20, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:46 p.m.