Triple
T786013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunt |
E16802
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Sam W. Hunt
Sam W. Hunt is an American politician who served as a member of the Washington State Legislature.
|
E95613
|
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: Sam W. Hunt | Statement: [Hunt, hasNotableBearer, Sam W. Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam W. Hunt Context triple: [Hunt, hasNotableBearer, Sam W. Hunt]
-
A.
Sam Hunt
Sam Hunt is an American country music singer and songwriter known for blending country with pop and R&B influences on hits like "Body Like a Back Road."
-
B.
Luke Bryan
Luke Bryan is an American country music singer and songwriter known for his chart-topping hits and energetic live performances.
-
C.
Taylor Allen
Taylor Allen is a screenwriter best known for co-writing the political drama film "Chappaquiddick," which explores the 1969 incident involving Senator Ted Kennedy.
-
D.
Tim McDermott
Tim McDermott is a sports executive known for his leadership role with Major League Soccer’s Philadelphia Union.
-
E.
Blake Mills
Blake Mills is an American guitarist, songwriter, and record producer known for his innovative work across folk, rock, and experimental music, as well as his collaborations with a wide range of acclaimed artists.
- 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: Sam W. Hunt Triple: [Hunt, hasNotableBearer, Sam W. Hunt]
Generated description
Sam W. Hunt is an American politician who served as a member of the Washington State Legislature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam W. Hunt Target entity description: Sam W. Hunt is an American politician who served as a member of the Washington State Legislature.
-
A.
Sam Hunt
Sam Hunt is an American country music singer and songwriter known for blending country with pop and R&B influences on hits like "Body Like a Back Road."
-
B.
Luke Bryan
Luke Bryan is an American country music singer and songwriter known for his chart-topping hits and energetic live performances.
-
C.
Taylor Allen
Taylor Allen is a screenwriter best known for co-writing the political drama film "Chappaquiddick," which explores the 1969 incident involving Senator Ted Kennedy.
-
D.
Tim McDermott
Tim McDermott is a sports executive known for his leadership role with Major League Soccer’s Philadelphia Union.
-
E.
Blake Mills
Blake Mills is an American guitarist, songwriter, and record producer known for his innovative work across folk, rock, and experimental music, as well as his collaborations with a wide range of acclaimed artists.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6891fb80481909ed2ce30789c945e |
completed | March 3, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69a689c9974c819082082cd83fe46cbc |
completed | March 3, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6d763a7848190ba4d5266d581acdb |
completed | March 3, 2026, 12:43 p.m. |
Created at: March 1, 2026, 7:38 p.m.