Triple
T14030120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of William III, Prince of Orange |
E337564
|
entity |
| Predicate | depictsPersonPosition |
P1852
|
FINISHED |
| Object | stadtholder of Holland |
—
|
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: stadtholder of Holland | Statement: [Portrait of William III, Prince of Orange, depictsPersonPosition, stadtholder of Holland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsPersonPosition Context triple: [Portrait of William III, Prince of Orange, depictsPersonPosition, stadtholder of Holland]
-
A.
depictsPerson
chosen
Indicates that one entity visually represents or portrays a specific person.
-
B.
depictedPersonMovement
Indicates that the predicate specifies the type or nature of movement being shown for the depicted person in an image or visual representation.
-
C.
depictsPersonRole
Indicates that an image or representation shows a person in a specific role, function, or capacity.
-
D.
locationPosed
Indicates that an entity is positioned or situated at a specific location.
-
E.
positionDescribed
Indicates that a position, location, or spatial arrangement of an entity is explicitly specified or characterized, typically in descriptive terms.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.