Triple
T27924383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wise Children |
E706291
|
entity |
| Predicate | containsAllusionsTo |
P143250
|
FINISHED |
| Object | William Shakespeare |
—
|
NE NERFINISHED |
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: William Shakespeare | Statement: [Wise Children, containsAllusionsTo, William Shakespeare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsAllusionsTo Context triple: [Wise Children, containsAllusionsTo, William Shakespeare]
-
A.
containsAllusion
Indicates that one entity includes or incorporates an indirect reference or allusion to another entity.
-
B.
alludesToAuthor
chosen
Indicates that one entity indirectly references, hints at, or makes an oblique mention of an author as its subject.
-
C.
hasAllegoricalDepictionsBy
Indicates that one entity is represented through allegorical depictions created by another entity.
-
D.
titleAlludesTo
Indicates that one title makes an indirect or suggestive reference to the content, theme, or another work associated with the other.
-
E.
hasCulturalReference
Indicates that one entity makes reference to, draws from, or is associated with the cultural content, symbols, or traditions represented by another entity.
- 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 27, 2026, 6:59 p.m.