Triple
T1664633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eight Elvises |
E35981
|
entity |
| Predicate | depictionAction |
P30530
|
FINISHED |
| Object | Elvis Presley aiming a gun at the viewer |
—
|
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: Elvis Presley aiming a gun at the viewer | Statement: [Eight Elvises, depictionAction, Elvis Presley aiming a gun at the viewer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictionAction Context triple: [Eight Elvises, depictionAction, Elvis Presley aiming a gun at the viewer]
-
A.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
-
B.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
D.
depictionContext
Indicates the situational or environmental setting in which something is depicted or represented.
-
E.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa994f92b0819084ee2f6a672334b9 |
completed | March 6, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69a907d2475c8190b7ec7dccd3335eb1 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a94192abc0819092fc00fef9d53bcb |
completed | March 5, 2026, 8:40 a.m. |
Created at: March 4, 2026, 7:29 p.m.