Triple
T33059138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of John Stuart Mill |
E845923
|
entity |
| Predicate | depictsPhilosophicalSchool |
P188907
|
FINISHED |
| Object | utilitarianism |
—
|
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: utilitarianism | Statement: [Portrait of John Stuart Mill, depictsPhilosophicalSchool, utilitarianism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsPhilosophicalSchool Context triple: [Portrait of John Stuart Mill, depictsPhilosophicalSchool, utilitarianism]
-
A.
depictsInstitution
Indicates that one entity visually represents or portrays an institution as its subject.
-
B.
depictsReligiousDenomination
Indicates that one entity visually represents or portrays the religious denomination associated with another entity.
-
C.
depictsClass
Indicates that one entity visually represents or portrays a particular class or category of entities.
-
D.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
E.
depictsFieldOfStudy
Indicates that something visually represents, illustrates, or portrays a particular field of academic or professional study.
- F. None of above. chosen
Provenance (4 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbaf18085481908c774e8f8bbb9a41 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaebbb7f88190b4edfd9b83550aad |
completed | May 6, 2026, 9:12 p.m. |
Created at: May 1, 2026, 1:25 a.m.