Triple
T7383330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford County, Illinois |
E170317
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Thomas Ford
Thomas Ford was an American politician who served as the eighth governor of Illinois from 1842 to 1846.
|
E659853
|
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 Ford | Statement: [Ford County, Illinois, namedAfter, Thomas Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Ford Context triple: [Ford County, Illinois, namedAfter, Thomas Ford]
-
A.
Steven Meigs Ford
Steven Meigs Ford is the son of former U.S. President Gerald Ford and First Lady Betty Ford.
-
B.
Edward Charles Ford
Edward Charles Ford, better known as Whitey Ford, was a Hall of Fame left-handed pitcher who starred for the New York Yankees in the 1950s and 1960s.
-
C.
Benson Ford
Benson Ford was an American businessman and prominent member of the Ford family who held executive roles at Ford Motor Company in the mid-20th century.
-
D.
Fred Ford
Fred Ford is a video game designer and programmer best known as the co-creator of the Star Control series and co-founder of the game development studio Toys for Bob.
-
E.
James Sawyer Ford
James "Sawyer" Ford is a central character on the television series "Lost," known as a complex, sharp-tongued con man with a troubled past and evolving moral compass.
- 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 Ford Triple: [Ford County, Illinois, namedAfter, Thomas Ford]
Generated description
Thomas Ford was an American politician who served as the eighth governor of Illinois from 1842 to 1846.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Ford Target entity description: Thomas Ford was an American politician who served as the eighth governor of Illinois from 1842 to 1846.
-
A.
Steven Meigs Ford
Steven Meigs Ford is the son of former U.S. President Gerald Ford and First Lady Betty Ford.
-
B.
Edward Charles Ford
Edward Charles Ford, better known as Whitey Ford, was a Hall of Fame left-handed pitcher who starred for the New York Yankees in the 1950s and 1960s.
-
C.
Benson Ford
Benson Ford was an American businessman and prominent member of the Ford family who held executive roles at Ford Motor Company in the mid-20th century.
-
D.
Fred Ford
Fred Ford is a video game designer and programmer best known as the co-creator of the Star Control series and co-founder of the game development studio Toys for Bob.
-
E.
James Sawyer Ford
James "Sawyer" Ford is a central character on the television series "Lost," known as a complex, sharp-tongued con man with a troubled past and evolving moral compass.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1cb0b8881908132383c0efb0503 |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802dee7448190be1835bd822b9180 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c80362bcb88190ad8c42f520d7dd56 |
completed | March 28, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803da5e2c819098814b16d14cf837 |
completed | March 28, 2026, 4:37 p.m. |
Created at: March 27, 2026, 3:08 p.m.