Triple
T33174949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irene Hixon Whitney Bridge |
E849141
|
entity |
| Predicate | hasArtContribution |
P164162
|
FINISHED |
| Object | John Ashbery |
—
|
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: John Ashbery | Statement: [Irene Hixon Whitney Bridge, hasArtContribution, John Ashbery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtContribution Context triple: [Irene Hixon Whitney Bridge, hasArtContribution, John Ashbery]
-
A.
hasArtisticWorks
chosen
Indicates that an entity possesses, is associated with, or is the creator of one or more artistic works.
-
B.
hasArtFeature
Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
-
C.
hasArtisticContent
Indicates that something contains or embodies artistic material, expression, or creative work.
-
D.
hasArtisticActivity
Indicates that an entity engages in, participates in, or is associated with an artistic activity or creative practice.
-
E.
hasArtisticDiscipline
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
- 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 1, 2026, 1:29 a.m.