Triple
T2561897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nayib Bukele |
E57258
|
entity |
| Predicate | imageManagementStrategy |
P13872
|
FINISHED |
| Object | millennial president branding |
—
|
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: millennial president branding | Statement: [Nayib Bukele, imageManagementStrategy, millennial president branding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageManagementStrategy Context triple: [Nayib Bukele, imageManagementStrategy, millennial president branding]
-
A.
galleryManager
Indicates a relationship where one entity is responsible for overseeing, organizing, and managing the operations or contents of an art or exhibition gallery for another entity.
-
B.
publicImage
chosen
Indicates how an entity is perceived or represented by the general public or broader audience.
-
C.
imagedBy
Indicates that something is captured, recorded, or represented in an image created by a particular imaging device, method, or agent.
-
D.
preservationPolicy
Indicates the rules or strategy governing how something is maintained, protected, and retained over time.
-
E.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.