Triple
T20339368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy Stauffer |
E495698
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Stauffer
Stauffer is a German-language surname borne by various notable individuals in fields such as music, politics, and academia.
|
E1424507
|
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: Stauffer | Statement: [Teddy Stauffer, familyName, Stauffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stauffer Context triple: [Teddy Stauffer, familyName, Stauffer]
-
A.
Seiberling
Seiberling is a surname most notably associated with American industrialist Frank Seiberling, co-founder of the Goodyear Tire & Rubber Company.
-
B.
Schueller
Schueller is a French surname most notably associated with Eugène Schueller, the chemist and entrepreneur who founded the cosmetics company L’Oréal.
-
C.
Stöcker
Stöcker is a German surname that is a variant of the name Stoker.
-
D.
Trumbauer
Trumbauer is a surname most notably associated with American architect Horace Trumbauer, known for his grand Gilded Age mansions and institutional buildings.
-
E.
Gallaher
Gallaher is a surname of Irish origin borne by various notable individuals, including figures in sports, politics, 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: Stauffer Triple: [Teddy Stauffer, familyName, Stauffer]
Generated description
Stauffer is a German-language surname borne by various notable individuals in fields such as music, politics, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stauffer Target entity description: Stauffer is a German-language surname borne by various notable individuals in fields such as music, politics, and academia.
-
A.
Seiberling
Seiberling is a surname most notably associated with American industrialist Frank Seiberling, co-founder of the Goodyear Tire & Rubber Company.
-
B.
Schueller
Schueller is a French surname most notably associated with Eugène Schueller, the chemist and entrepreneur who founded the cosmetics company L’Oréal.
-
C.
Stöcker
Stöcker is a German surname that is a variant of the name Stoker.
-
D.
Trumbauer
Trumbauer is a surname most notably associated with American architect Horace Trumbauer, known for his grand Gilded Age mansions and institutional buildings.
-
E.
Gallaher
Gallaher is a surname of Irish origin borne by various notable individuals, including figures in sports, politics, 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678342a0081908ede8006eb5506a3 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08695a90fc81908ab2c0e24a96de07 |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0869a83ac48190ae1137700c78cfc1 |
completed | May 16, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a0aaee08190a0bce73f017fe491 |
completed | May 16, 2026, 12:58 p.m. |
Created at: April 16, 2026, 11:23 a.m.