Triple
T6448075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaac Hellmuth |
E139793
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hellmuth
Hellmuth is a German-origin surname borne by various notable individuals, including figures in academia, religion, and public life.
|
E594066
|
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: Hellmuth | Statement: [Isaac Hellmuth, familyName, Hellmuth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellmuth Context triple: [Isaac Hellmuth, familyName, Hellmuth]
-
A.
George Hellmuth
George Hellmuth was an American architect best known as a co-founder of the global design and architecture firm HOK.
-
B.
Carl Hellmuth Hertz
Carl Hellmuth Hertz was a German physicist and engineer best known for pioneering medical ultrasound imaging and contributing to the development of inkjet printing technology.
-
C.
Elvis Schmidt
Elvis Schmidt is a person known primarily for his association with Zack Mazursky.
-
D.
Heinsohn
Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
-
E.
Eckstein
Eckstein is a German-origin surname borne by various notable individuals across fields such as sports, academia, 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: Hellmuth Triple: [Isaac Hellmuth, familyName, Hellmuth]
Generated description
Hellmuth is a German-origin surname borne by various notable individuals, including figures in academia, religion, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hellmuth Target entity description: Hellmuth is a German-origin surname borne by various notable individuals, including figures in academia, religion, and public life.
-
A.
George Hellmuth
George Hellmuth was an American architect best known as a co-founder of the global design and architecture firm HOK.
-
B.
Carl Hellmuth Hertz
Carl Hellmuth Hertz was a German physicist and engineer best known for pioneering medical ultrasound imaging and contributing to the development of inkjet printing technology.
-
C.
Elvis Schmidt
Elvis Schmidt is a person known primarily for his association with Zack Mazursky.
-
D.
Heinsohn
Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
-
E.
Eckstein
Eckstein is a German-origin surname borne by various notable individuals across fields such as sports, academia, 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069afd8c48190b3cab580c813ecab |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bcfc7388190877ad702ea44802d |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64c5e5e5c8190b24aea7e4114daa5 |
completed | March 27, 2026, 9:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64da81a0881908fc5716aeb0e47fa |
completed | March 27, 2026, 9:28 a.m. |
Created at: March 22, 2026, 4:47 p.m.