Triple
T13987950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subjacency |
E336489
|
entity |
| Predicate | oftenIllustratedWith |
P107664
|
FINISHED |
| Object | multiple clause embeddings |
—
|
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: multiple clause embeddings | Statement: [Subjacency, oftenIllustratedWith, multiple clause embeddings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenIllustratedWith Context triple: [Subjacency, oftenIllustratedWith, multiple clause embeddings]
-
A.
oftenIllustratedBy
chosen
Indicates that something is frequently depicted, represented, or exemplified through a particular image, example, or illustration.
-
B.
hasIllustrations
Indicates that an entity includes or is accompanied by visual illustrations.
-
C.
hasIllustrationsBy
Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
-
D.
numberOfIllustrations
Indicates the quantity of illustrations associated with or contained in an entity.
-
E.
hasIllustratedCharacters
Indicates that something includes or features characters that are depicted through illustrations.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea537408190bb9d35963886803f |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.