Triple
T14935241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bust of Jean-Jacques Rousseau |
E372372
|
entity |
| Predicate | portraysAgeOfSubject |
P13483
|
FINISHED |
| Object | late adulthood |
—
|
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: late adulthood | Statement: [Bust of Jean-Jacques Rousseau, portraysAgeOfSubject, late adulthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysAgeOfSubject Context triple: [Bust of Jean-Jacques Rousseau, portraysAgeOfSubject, late adulthood]
-
A.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
-
B.
portraysAgeGroup
chosen
Indicates that one entity depicts or represents another entity as belonging to a particular age group.
-
C.
portrayedByCharacterAgeApprox
Indicates that an entity is portrayed by a character whose age is approximately a specified value or age range.
-
D.
sitterAgeAtTimeOfPortrait
Indicates the age of the sitter at the specific time when the portrait was created or captured.
-
E.
depictedSubject
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded647ae388190a0e97c03f2a4d832 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:37 a.m.