Triple
T12544367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Huckabee |
E299923
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Huckabee
Huckabee is an American surname most prominently associated with Mike Huckabee, a former governor of Arkansas and Republican presidential candidate.
|
E989198
|
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: Huckabee | Statement: [Mike Huckabee, familyName, Huckabee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huckabee Context triple: [Mike Huckabee, familyName, Huckabee]
-
A.
Jeb
Jeb is a masculine given name, often used as a diminutive of names like Jebediah or James.
-
B.
Mr. Republican
Mr. Republican was the nickname of U.S. Senator Robert A. Taft, a leading mid-20th-century conservative and influential figure in the Republican Party.
-
C.
Bob Trumpy
Bob Trumpy is a former American football tight end and longtime NBC sports broadcaster known for his work as a color commentator on NFL games.
-
D.
Bo Buchanan
Bo Buchanan is a long-running central character on the American soap opera "One Life to Live," known as a principled police commissioner and member of the influential Buchanan family.
-
E.
Krueger
Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
- 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: Huckabee Triple: [Mike Huckabee, familyName, Huckabee]
Generated description
Huckabee is an American surname most prominently associated with Mike Huckabee, a former governor of Arkansas and Republican presidential candidate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huckabee Target entity description: Huckabee is an American surname most prominently associated with Mike Huckabee, a former governor of Arkansas and Republican presidential candidate.
-
A.
Jeb
Jeb is a masculine given name, often used as a diminutive of names like Jebediah or James.
-
B.
Mr. Republican
Mr. Republican was the nickname of U.S. Senator Robert A. Taft, a leading mid-20th-century conservative and influential figure in the Republican Party.
-
C.
Bob Trumpy
Bob Trumpy is a former American football tight end and longtime NBC sports broadcaster known for his work as a color commentator on NFL games.
-
D.
Bo Buchanan
Bo Buchanan is a long-running central character on the American soap opera "One Life to Live," known as a principled police commissioner and member of the influential Buchanan family.
-
E.
Krueger
Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9547f9a1c81908f54c58a116a8446 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655801cac8190b1f9a72f8fed0399 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f6566f40c08190baec227fb660c948 |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657aa1bf48190a884e0dfce31e30e |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:57 p.m.