Triple
T8043282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garçon à la pipe |
E187484
|
entity |
| Predicate | depictionAgeOfModel |
P50923
|
FINISHED |
| Object | adolescent boy |
—
|
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: adolescent boy | Statement: [Garçon à la pipe, depictionAgeOfModel, adolescent boy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictionAgeOfModel Context triple: [Garçon à la pipe, depictionAgeOfModel, adolescent boy]
-
A.
ageModel
chosen
Indicates a relationship where one entity specifies or provides the age of another entity, typically in terms of a particular age value or age-related classification.
-
B.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
depictedSince
Indicates that an entity has been depicted or represented in some medium starting from a specific point in time.
-
D.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
-
E.
depictionAngle
Indicates the angle or viewpoint from which something is visually depicted or represented.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f49dcfc81909ac7c93e19ad05c2 |
completed | March 31, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:23 p.m.