Triple
T12445194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Blunt |
E297379
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Matt Blunt
Matt Blunt is an American Republican politician who served as the 54th Governor of Missouri from 2005 to 2009.
|
E985091
|
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: Matt Blunt | Statement: [Roy Blunt, child, Matt Blunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Blunt Context triple: [Roy Blunt, child, Matt Blunt]
-
A.
Roy Blunt
Roy Blunt is an American Republican politician who served in the U.S. House of Representatives and later as a U.S. Senator from Missouri, holding several key leadership roles in Congress.
-
B.
Mike Parson
Mike Parson is an American Republican politician serving as the governor of Missouri.
-
C.
Michael McWherter
Michael McWherter is an American businessman and Democratic politician from Tennessee who ran for governor in 2010 and is the son of former Governor Ned McWherter.
-
D.
Lance Briggs
Lance Briggs is a former NFL linebacker best known for his long, Pro Bowl–caliber career with the Chicago Bears.
-
E.
Ken Hutchinson
Ken Hutchinson is one of the two main undercover police detectives in the 1970s television series "Starsky & Hutch," known as the more reserved and analytical partner to the streetwise David Starsky.
- 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: Matt Blunt Triple: [Roy Blunt, child, Matt Blunt]
Generated description
Matt Blunt is an American Republican politician who served as the 54th Governor of Missouri from 2005 to 2009.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Blunt Target entity description: Matt Blunt is an American Republican politician who served as the 54th Governor of Missouri from 2005 to 2009.
-
A.
Roy Blunt
Roy Blunt is an American Republican politician who served in the U.S. House of Representatives and later as a U.S. Senator from Missouri, holding several key leadership roles in Congress.
-
B.
Mike Parson
Mike Parson is an American Republican politician serving as the governor of Missouri.
-
C.
Michael McWherter
Michael McWherter is an American businessman and Democratic politician from Tennessee who ran for governor in 2010 and is the son of former Governor Ned McWherter.
-
D.
Lance Briggs
Lance Briggs is a former NFL linebacker best known for his long, Pro Bowl–caliber career with the Chicago Bears.
-
E.
Ken Hutchinson
Ken Hutchinson is one of the two main undercover police detectives in the 1970s television series "Starsky & Hutch," known as the more reserved and analytical partner to the streetwise David Starsky.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d90f18c819083a36ff4b9be4a20 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f132d048190b58a8381bdc74cad |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6415f11d88190a9f77eb1890f76ef |
completed | May 2, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64231606481909b8dd9d878670a6c |
completed | May 2, 2026, 6:28 p.m. |
Created at: April 8, 2026, 9:55 p.m.