Triple
T5910415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Awards statuette |
E131443
|
entity |
| Predicate | plating |
P26314
|
FINISHED |
| Object | 24-karat gold |
—
|
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: 24-karat gold | Statement: [Academy Awards statuette, plating, 24-karat gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plating Context triple: [Academy Awards statuette, plating, 24-karat gold]
-
A.
plate
Indicates that one entity serves as a plate or flat dish used to hold, support, or present another entity.
-
B.
associatedMetal
chosen
Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
-
C.
plate3
Indicates that one entity is a third plate or dish associated with, supporting, or serving another entity in a given context.
-
D.
stateMetal
Indicates that an entity is in a metallic state or exhibits properties characteristic of a metal.
-
E.
involvesPlate
Indicates that an event, action, or situation includes or makes use of a plate as a relevant participant or object.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.