Triple
T1746060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Rasmussen |
E38337
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Rasmussen
Rasmussen is a surname of Scandinavian origin borne by various notable individuals across fields such as politics, sports, and media.
|
E197703
|
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: Rasmussen | Statement: [Scott Rasmussen, familyName, Rasmussen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rasmussen Context triple: [Scott Rasmussen, familyName, Rasmussen]
-
A.
Zakheim
Zakheim is a surname most notably associated with Bernard Zakheim, a Polish-born American muralist known for his New Deal–era public artworks in California.
-
B.
Rawson
Rawson is a coastal city in southern Argentina that serves as the capital of Chubut Province and an important administrative and fishing center in Patagonia.
-
C.
Warren
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
-
D.
Warren
Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
-
E.
Warren
Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
- 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: Rasmussen Triple: [Scott Rasmussen, familyName, Rasmussen]
Generated description
Rasmussen is a surname of Scandinavian origin borne by various notable individuals across fields such as politics, sports, and media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rasmussen Target entity description: Rasmussen is a surname of Scandinavian origin borne by various notable individuals across fields such as politics, sports, and media.
-
A.
Zakheim
Zakheim is a surname most notably associated with Bernard Zakheim, a Polish-born American muralist known for his New Deal–era public artworks in California.
-
B.
Rawson
Rawson is a coastal city in southern Argentina that serves as the capital of Chubut Province and an important administrative and fishing center in Patagonia.
-
C.
Warren
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
-
D.
Warren
Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
-
E.
Warren
Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63eabdf48190878ecde3d1b1faf3 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0de0ff08190bb7758e3ba32de80 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada524a234819082f94430da4e802d |
completed | March 8, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada5bc32ac8190a921410bdfa465fa |
completed | March 8, 2026, 4:37 p.m. |
Created at: March 4, 2026, 7:31 p.m.