Triple
T25605788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pack the duckling |
E641908
|
entity |
| Predicate | isDepictionOf |
P118298
|
FINISHED |
| Object | duckling |
—
|
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: duckling | Statement: [Pack the duckling, isDepictionOf, duckling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDepictionOf Context triple: [Pack the duckling, isDepictionOf, duckling]
-
A.
isDepictedVia
Indicates that one entity is represented, illustrated, or shown by means of another entity, such as a specific medium, style, or method of depiction.
-
B.
intendedToDepict
chosen
Indicates that one entity was purposefully created or selected in order to visually represent or portray another entity.
-
C.
imageDepictedIn
Indicates that a particular image is shown, represented, or included within another resource or context.
-
D.
isProgrammaticDepictionOf
Indicates that one entity is a programmatically generated or computational representation of another entity.
-
E.
commonlyDepictedOn
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9aa9b6881909fd56b8a85534062 |
completed | May 2, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 4:38 p.m.