Triple
T235513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winslow Homer |
E4500
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Winslow |
E80
|
NE 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: Winslow | Statement: [Winslow Homer, givenName, Winslow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winslow Context triple: [Winslow Homer, givenName, Winslow]
-
A.
Weston
Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
-
B.
Goodhue
Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
-
C.
Douglas
chosen
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
D.
Stowe
Stowe is a surname most famously associated with American author Harriet Beecher Stowe, known for writing the anti-slavery novel "Uncle Tom's Cabin."
-
E.
Montrose
Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25ccab7648190be6e4f5febc1e313 |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b46e24888190b400bf5ee8028e7c |
completed | March 1, 2026, 3:37 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.