Triple
T33444862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Amateur |
E856464
|
entity |
| Predicate | hasCIAAsOrganizationDepicted |
P101183
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Amateur, hasCIAAsOrganizationDepicted, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCIAAsOrganizationDepicted Context triple: [The Amateur, hasCIAAsOrganizationDepicted, true]
-
A.
notableOrganizationDepicted
chosen
Indicates that a notable organization is visually represented or portrayed in the subject (such as an image, work, or media item).
-
B.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
-
C.
allyOrganization
Indicates that one organization has a cooperative or supportive alliance relationship with another organization.
-
D.
controlledOrganization
Indicates that one entity has the authority to direct, manage, or significantly influence the operations and decisions of another organization.
-
E.
representativeOrganization
Indicates that one organization acts on behalf of, or serves as the official representative of, another entity in some capacity.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 1:37 a.m.