Triple
T31912468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Show Jones |
E814723
|
entity |
| Predicate | isPartOfPublicImageOf |
P151521
|
FINISHED |
| Object | George Jones |
—
|
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: George Jones | Statement: [No Show Jones, isPartOfPublicImageOf, George Jones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfPublicImageOf Context triple: [No Show Jones, isPartOfPublicImageOf, George Jones]
-
A.
hasPhotographicAppearanceIn
Indicates that one entity appears in a photograph or photographic representation associated with another entity.
-
B.
imagedBy
Indicates that something is captured, recorded, or represented in an image created by a particular imaging device, method, or agent.
-
C.
isImageOf
Indicates that one entity is a visual depiction or representation of another entity.
-
D.
appearanceInImages
chosen
Indicates that an entity is visually present or depicted within one or more images.
-
E.
publicImage
Indicates how an entity is perceived or represented by the general public or broader audience.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: May 1, 2026, 12:01 a.m.