Triple
T10756009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cook County, Minnesota |
E253696
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Michael Cook
Michael Cook was a 19th-century American politician and public figure in Minnesota after whom Cook County was named.
|
E884496
|
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: Michael Cook | Statement: [Cook County, Minnesota, namedAfter, Michael Cook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Cook Context triple: [Cook County, Minnesota, namedAfter, Michael Cook]
-
A.
Quentin Leo Cook
Quentin Leo Cook is the English DJ, musician, and record producer better known by his stage name Fatboy Slim.
-
B.
Martin Lisemore
Martin Lisemore was a British television producer best known for his acclaimed work on high-profile BBC drama series in the 1970s.
-
C.
Peter S. Elliot
Peter S. Elliot is a film editor known for his work on feature films, including the ensemble romantic comedy "Think Like a Man."
-
D.
Colin Gordon
Colin Gordon was a British character actor known for his numerous film and television roles in the mid-20th century, often portraying officious or bureaucratic figures.
-
E.
Damien P. George
Damien P. George is a British physicist and software engineer best known for creating MicroPython, a lean implementation of Python for microcontrollers and embedded systems.
- 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: Michael Cook Triple: [Cook County, Minnesota, namedAfter, Michael Cook]
Generated description
Michael Cook was a 19th-century American politician and public figure in Minnesota after whom Cook County was named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Cook Target entity description: Michael Cook was a 19th-century American politician and public figure in Minnesota after whom Cook County was named.
-
A.
Quentin Leo Cook
Quentin Leo Cook is the English DJ, musician, and record producer better known by his stage name Fatboy Slim.
-
B.
Martin Lisemore
Martin Lisemore was a British television producer best known for his acclaimed work on high-profile BBC drama series in the 1970s.
-
C.
Peter S. Elliot
Peter S. Elliot is a film editor known for his work on feature films, including the ensemble romantic comedy "Think Like a Man."
-
D.
Colin Gordon
Colin Gordon was a British character actor known for his numerous film and television roles in the mid-20th century, often portraying officious or bureaucratic figures.
-
E.
Damien P. George
Damien P. George is a British physicist and software engineer best known for creating MicroPython, a lean implementation of Python for microcontrollers and embedded systems.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72e9e224c819099d16aba77322812 |
completed | April 9, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de2338b2cc8190ad40ff9a421a4152 |
completed | April 14, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69de271ee56c81908d2f690f31c2d2db |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2dff4a048190823c8b5f1f7ea548 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:15 p.m.