Triple
T29310725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knot (1947) |
E743224
|
entity |
| Predicate | creatorInfluence |
P118712
|
FINISHED |
| Object | Bauhaus weaving workshop |
—
|
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: Bauhaus weaving workshop | Statement: [Knot (1947), creatorInfluence, Bauhaus weaving workshop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorInfluence Context triple: [Knot (1947), creatorInfluence, Bauhaus weaving workshop]
-
A.
creativeInfluence
chosen
Indicates that one entity has shaped, inspired, or informed the creative work, style, or ideas of another entity.
-
B.
influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
-
C.
influenceOf
Indicates that one entity affects, shapes, or alters the state, behavior, or properties of another entity.
-
D.
influencedMedium
Indicates that one entity has affected, shaped, or altered the form, style, or characteristics of a medium through its influence.
-
E.
influencedPerson
Indicates that one entity has affected, shaped, or guided the thoughts, behavior, or development of another person.
- 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 28, 2026, 1:16 p.m.