Triple
T14948159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques de Wissant |
E372719
|
entity |
| Predicate | representedInMedium |
P103962
|
FINISHED |
| Object | bronze sculpture |
—
|
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: bronze sculpture | Statement: [Jacques de Wissant, representedInMedium, bronze sculpture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedInMedium Context triple: [Jacques de Wissant, representedInMedium, bronze sculpture]
-
A.
representsMedium
Indicates that one entity serves as the medium, channel, or means through which another entity is expressed, communicated, or realized.
-
B.
hasRepresentationInMedia
chosen
Indicates that something is depicted, portrayed, or otherwise represented within a particular medium or media work.
-
C.
mediatisedBy
Indicates that an entity’s communication or interaction is conveyed, shaped, or influenced through a particular medium or media channel rather than occurring directly.
-
D.
representedInTitle
Indicates that an entity is mentioned or reflected in the title of another resource.
-
E.
portrayedInFilmMedium
Indicates that an entity is depicted or represented within a film or cinematic work.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:39 a.m.