Triple
T21138010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sol Stein |
E520862
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Stein and Day |
—
|
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: Stein and Day | Statement: [Sol Stein, employer, Stein and Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stein and Day Context triple: [Sol Stein, employer, Stein and Day]
-
A.
Stein and Day
chosen
Stein and Day was an American publishing company known for releasing popular fiction and nonfiction titles during the mid-20th century.
-
B.
Stein
Stein is a nearby settlement to Halistra, likely a small village or town in the same region.
-
C.
Stein
Stein is a German-origin surname borne by numerous notable individuals across fields such as exploration, philosophy, literature, and politics.
-
D.
Stein
Stein is a municipality in the Dutch province of Limburg, known for its industrial heritage and location along the Meuse River near the Belgian border.
-
E.
Waterstein
Waterstein is a small coastal settlement on the Duirinish peninsula of the Isle of Skye in Scotland, known for its dramatic cliffs and proximity to Neist Point.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235d1c788190a28577a753532b2a |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:57 p.m.