Triple
T21137996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sol Stein |
E520862
|
entity |
| Predicate | coFounderOf |
P104
|
FINISHED |
| Object |
Stein and Day
Stein and Day was an American publishing company known for releasing popular fiction and nonfiction titles during the mid-20th century.
|
E1468467
|
NE FINISHED |
How this triple was built (4 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, coFounderOf, Stein and Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stein and Day Context triple: [Sol Stein, coFounderOf, Stein and Day]
-
A.
Stein
Stein is a nearby settlement to Halistra, likely a small village or town in the same region.
-
B.
Stein
Stein is a German-origin surname borne by numerous notable individuals across fields such as exploration, philosophy, literature, and politics.
-
C.
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.
-
D.
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.
-
E.
The Muckenthaler
The Muckenthaler is a historic cultural arts center in Fullerton, California, known for its exhibitions, performances, and community arts programs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stein and Day Triple: [Sol Stein, coFounderOf, Stein and Day]
Generated description
Stein and Day was an American publishing company known for releasing popular fiction and nonfiction titles during the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stein and Day Target entity description: Stein and Day was an American publishing company known for releasing popular fiction and nonfiction titles during the mid-20th century.
-
A.
Stein
Stein is a nearby settlement to Halistra, likely a small village or town in the same region.
-
B.
Stein
Stein is a German-origin surname borne by numerous notable individuals across fields such as exploration, philosophy, literature, and politics.
-
C.
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.
-
D.
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.
-
E.
The Muckenthaler
The Muckenthaler is a historic cultural arts center in Fullerton, California, known for its exhibitions, performances, and community arts programs.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965f556d881909652d21a62b10874 |
completed | May 17, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_6a0966f894d48190b6841c35a9aab417 |
completed | May 17, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a096adfd4248190a26c513278e7b334 |
completed | May 17, 2026, 7:14 a.m. |
Created at: April 16, 2026, 2:57 p.m.