Triple
T11074007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cepheid |
E261817
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Thomas Gutshall
Thomas Gutshall is an American businessman best known as the co-founder and early leader of the medical diagnostics company Cepheid.
|
E964500
|
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: Thomas Gutshall | Statement: [Cepheid, foundedBy, Thomas Gutshall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Gutshall Context triple: [Cepheid, foundedBy, Thomas Gutshall]
-
A.
George Ratterman
George Ratterman was an American professional football quarterback who later became a prominent sports broadcaster and attorney.
-
B.
William Sachse
William Sachse was a 19th-century Texas pioneer and landowner after whom the city of Sachse, Texas, is named.
-
C.
John Dolman
John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
-
D.
Alvin Ganzer
Alvin Ganzer was an American film and television director best known for his work on mid-20th-century genre and anthology series.
-
E.
Charles Guggenheim
Charles Guggenheim was an American documentary filmmaker renowned for his politically engaged and historically focused films, earning multiple Academy Awards over his career.
- 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: Thomas Gutshall Triple: [Cepheid, foundedBy, Thomas Gutshall]
Generated description
Thomas Gutshall is an American businessman best known as the co-founder and early leader of the medical diagnostics company Cepheid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Gutshall Target entity description: Thomas Gutshall is an American businessman best known as the co-founder and early leader of the medical diagnostics company Cepheid.
-
A.
George Ratterman
George Ratterman was an American professional football quarterback who later became a prominent sports broadcaster and attorney.
-
B.
William Sachse
William Sachse was a 19th-century Texas pioneer and landowner after whom the city of Sachse, Texas, is named.
-
C.
John Dolman
John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
-
D.
Alvin Ganzer
Alvin Ganzer was an American film and television director best known for his work on mid-20th-century genre and anthology series.
-
E.
Charles Guggenheim
Charles Guggenheim was an American documentary filmmaker renowned for his politically engaged and historically focused films, earning multiple Academy Awards over his career.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994e32fc8190a6591d9e82b68f75 |
completed | April 9, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f62fa15081909e7c71d8feda7391 |
completed | May 2, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_69f5ff815b748190932bfe163ea2847d |
completed | May 2, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6018b4088819092b8b97089068fae |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 8, 2026, 9:26 p.m.