Triple
T18320412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Asmussen |
E438860
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Asmussen
Asmussen is a surname most prominently associated with American Thoroughbred racehorse trainer Steve Asmussen, a multiple Eclipse Award winner and Hall of Fame inductee.
|
E1317840
|
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: Asmussen | Statement: [Steve Asmussen, familyName, Asmussen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asmussen Context triple: [Steve Asmussen, familyName, Asmussen]
-
A.
Billingsley
Billingsley is an English-origin surname borne by various notable individuals in fields such as entertainment, sports, and academia.
-
B.
Hoel
Hoel is a given name and surname of Breton and Welsh origin, historically borne by several medieval rulers and later used in various European cultures.
-
C.
Wentzel
Wentzel is a surname of German origin borne by various notable individuals across different fields.
-
D.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
E.
Abrahamson
Abrahamson is a surname of Scandinavian origin borne by various notable individuals in fields such as science, the military, and the arts.
- 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: Asmussen Triple: [Steve Asmussen, familyName, Asmussen]
Generated description
Asmussen is a surname most prominently associated with American Thoroughbred racehorse trainer Steve Asmussen, a multiple Eclipse Award winner and Hall of Fame inductee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asmussen Target entity description: Asmussen is a surname most prominently associated with American Thoroughbred racehorse trainer Steve Asmussen, a multiple Eclipse Award winner and Hall of Fame inductee.
-
A.
Billingsley
Billingsley is an English-origin surname borne by various notable individuals in fields such as entertainment, sports, and academia.
-
B.
Hoel
Hoel is a given name and surname of Breton and Welsh origin, historically borne by several medieval rulers and later used in various European cultures.
-
C.
Wentzel
Wentzel is a surname of German origin borne by various notable individuals across different fields.
-
D.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
E.
Abrahamson
Abrahamson is a surname of Scandinavian origin borne by various notable individuals in fields such as science, the military, and the arts.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa5a3508190a3025e71c11d79e2 |
completed | April 19, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4c6094881909add4e2fe99a1bba |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c52d0ba48190845d461df02c3aa3 |
completed | May 13, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c5dd07488190ae04c6b406ab29c9 |
completed | May 13, 2026, 12:29 a.m. |
Created at: April 10, 2026, 10:36 a.m.