Triple
T7472339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crazy Horse Memorial |
E176536
|
entity |
| Predicate | subjectDepicted |
P49267
|
FINISHED |
| Object | Crazy Horse on horseback |
—
|
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: Crazy Horse on horseback | Statement: [Crazy Horse Memorial, subjectDepicted, Crazy Horse on horseback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectDepicted Context triple: [Crazy Horse Memorial, subjectDepicted, Crazy Horse on horseback]
-
A.
depictedSubject
chosen
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
-
B.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
C.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
D.
commonlyDepictedOn
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
-
E.
iconographicSubject
Indicates that one entity serves as the depicted subject or theme represented in the iconography of 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f415b5cc81909e1e097c90f460b6 |
completed | March 27, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:41 p.m.