Triple
T23352690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macdowell |
E592958
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | MacDowell |
—
|
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: MacDowell | Statement: [Macdowell, hasVariant, MacDowell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacDowell Context triple: [Macdowell, hasVariant, MacDowell]
-
A.
MacDowell
MacDowell is a renowned artist residency program in Peterborough, New Hampshire, that provides creators with time and space to work on their art.
-
B.
Macdowell
chosen
Macdowell is a surname most notably associated with American painter and photographer Susan Macdowell Eakins.
-
C.
Delmore
Delmore is a masculine given name most notably associated with the American poet and short story writer Delmore Schwartz.
-
D.
O’Keefe
O’Keefe is an Irish-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
-
E.
Haardt
Haardt is a district of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany, known for its scenic location along the German Wine Route and proximity to the Palatinate Forest.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a14e04c81909c007b97cf5378b6 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:20 p.m.