Triple
T35914628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Winston Churchill by Douglas Chandor (1946) |
E1038709
|
entity |
| Predicate | depictsQuality |
P53700
|
FINISHED |
| Object | resolute character |
—
|
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: resolute character | Statement: [Portrait of Winston Churchill by Douglas Chandor (1946), depictsQuality, resolute character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsQuality Context triple: [Portrait of Winston Churchill by Douglas Chandor (1946), depictsQuality, resolute character]
-
A.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
depictsAttribute
chosen
Indicates that one entity visually represents or illustrates a specific attribute or characteristic of another entity.
-
C.
depictsService
Indicates that one entity visually represents or portrays a service provided by another entity.
-
D.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
E.
depictsMedium
Indicates that one entity visually represents or portrays the medium or material 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: May 3, 2026, 4:07 p.m.