Triple
T13042725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoyt |
E327235
|
entity |
| Predicate | hasNotableSurnameBearer |
P30307
|
FINISHED |
| Object |
Wayne Hoyt
Wayne Hoyt is an individual notable enough to be recognized as a bearer of the Hoyt surname.
|
E1025878
|
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: Wayne Hoyt | Statement: [Hoyt, hasNotableSurnameBearer, Wayne Hoyt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wayne Hoyt Context triple: [Hoyt, hasNotableSurnameBearer, Wayne Hoyt]
-
A.
Wayne Robinson
Wayne Robinson was a prominent figure in Utah’s history, honored as the namesake of Wayne County.
-
B.
Lloyd Hubler
Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
-
C.
Buck Houghton
Buck Houghton was an American television producer best known for his work on the original series of The Twilight Zone.
-
D.
Cliff Hagan
Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
-
E.
George LaVoo
George LaVoo is an American filmmaker and screenwriter best known for his work on independent films, including the acclaimed coming-of-age drama "Real Women Have Curves."
- 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: Wayne Hoyt Triple: [Hoyt, hasNotableSurnameBearer, Wayne Hoyt]
Generated description
Wayne Hoyt is an individual notable enough to be recognized as a bearer of the Hoyt surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wayne Hoyt Target entity description: Wayne Hoyt is an individual notable enough to be recognized as a bearer of the Hoyt surname.
-
A.
Wayne Robinson
Wayne Robinson was a prominent figure in Utah’s history, honored as the namesake of Wayne County.
-
B.
Lloyd Hubler
Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
-
C.
Buck Houghton
Buck Houghton was an American television producer best known for his work on the original series of The Twilight Zone.
-
D.
Cliff Hagan
Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
-
E.
George LaVoo
George LaVoo is an American filmmaker and screenwriter best known for his work on independent films, including the acclaimed coming-of-age drama "Real Women Have Curves."
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804f0318819081516e2ca1de6797 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c771fc8190afb6b0f449c67294 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f694f8c48190adce4cddbf63777f |
completed | May 3, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f7d8bfa0819097b3d9175bc56933 |
completed | May 3, 2026, 7:23 a.m. |
Created at: April 9, 2026, 8:56 p.m.