Triple
T4962038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agnes Martin |
E111430
|
entity |
| Predicate | emphasizedElement |
P17414
|
FINISHED |
| Object | line |
—
|
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: line | Statement: [Agnes Martin, emphasizedElement, line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizedElement Context triple: [Agnes Martin, emphasizedElement, line]
-
A.
positionEmphasized
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
-
B.
hasEmphasis
chosen
Indicates that one element is given special stress, importance, or prominence relative to others.
-
C.
notableElement
Indicates that an entity has a component, feature, or part that is especially significant, prominent, or noteworthy in relation to it.
-
D.
emphasizesAttributeOfHermes
Indicates that something highlights or draws special attention to a particular attribute or characteristic of Hermes.
-
E.
crestElement
Indicates that one entity is a crest or emblematic design element associated with, or forming part of, 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.