Triple
T17506558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penner |
E426331
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Solomon Penner
Solomon Penner is an individual known primarily in relation to the use or association with the name or term "Penner."
|
E1277382
|
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: Solomon Penner | Statement: [Penner, usedBy, Solomon Penner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solomon Penner Context triple: [Penner, usedBy, Solomon Penner]
-
A.
David B. Culberson
David B. Culberson was a 19th-century American politician and Confederate officer from Texas who served in the U.S. House of Representatives and for whom Culberson County, Texas, is named.
-
B.
Ralph Penner
Ralph Penner is an individual associated with or identified by the name "Penner," though no widely known public information further distinguishes him.
-
C.
Erdman Penner
Erdman Penner was a Canadian-born screenwriter and story artist best known for his work on classic Walt Disney animated films in the mid-20th century.
-
D.
Richard Berkling
Richard Berkling is a Swedish sports executive best known for serving as chairman of the football club IFK Göteborg.
-
E.
Andrew P. Solt
Andrew P. Solt was a mid-20th-century American screenwriter best known for his work in film noir and dramatic cinema.
- 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: Solomon Penner Triple: [Penner, usedBy, Solomon Penner]
Generated description
Solomon Penner is an individual known primarily in relation to the use or association with the name or term "Penner."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solomon Penner Target entity description: Solomon Penner is an individual known primarily in relation to the use or association with the name or term "Penner."
-
A.
David B. Culberson
David B. Culberson was a 19th-century American politician and Confederate officer from Texas who served in the U.S. House of Representatives and for whom Culberson County, Texas, is named.
-
B.
Ralph Penner
chosen
Ralph Penner is an individual associated with or identified by the name "Penner," though no widely known public information further distinguishes him.
-
C.
Erdman Penner
Erdman Penner was a Canadian-born screenwriter and story artist best known for his work on classic Walt Disney animated films in the mid-20th century.
-
D.
Richard Berkling
Richard Berkling is a Swedish sports executive best known for serving as chairman of the football club IFK Göteborg.
-
E.
Andrew P. Solt
Andrew P. Solt was a mid-20th-century American screenwriter best known for his work in film noir and dramatic cinema.
- F. None of above.
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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45258b73c81909db581d4f1d27921 |
completed | April 19, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e80a961c8190b167076aa89bf8a1 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01f08c56cc81909822635127254ef1 |
completed | May 11, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01f0ebf9e4819091d1b59964c6a275 |
completed | May 11, 2026, 3:08 p.m. |
Created at: April 10, 2026, 5:48 a.m.