Triple
T18956038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kummer |
E463782
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Kummer
Michael Kummer is a technology and lifestyle blogger and YouTube content creator known for reviews and insights on consumer tech, fitness, and nutrition.
|
E1351139
|
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: Michael Kummer | Statement: [Kummer, hasNotableBearer, Michael Kummer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kummer Context triple: [Kummer, hasNotableBearer, Michael Kummer]
-
A.
Stefan Krapf
Stefan Krapf is an Austrian politician who serves as the mayor of the town of Gmunden.
-
B.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
-
C.
Andreas Scholl
Andreas Scholl is a renowned German countertenor celebrated for his interpretations of Baroque and early music.
-
D.
Martin Reinfried
Martin Reinfried is an entrepreneur best known as a founder of the early internet search and web portal company Excite.
-
E.
Martin Reinfried
Martin Reinfried is an entrepreneur best known as the founder of the company Architext.
- 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: Michael Kummer Triple: [Kummer, hasNotableBearer, Michael Kummer]
Generated description
Michael Kummer is a technology and lifestyle blogger and YouTube content creator known for reviews and insights on consumer tech, fitness, and nutrition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Kummer Target entity description: Michael Kummer is a technology and lifestyle blogger and YouTube content creator known for reviews and insights on consumer tech, fitness, and nutrition.
-
A.
Stefan Krapf
Stefan Krapf is an Austrian politician who serves as the mayor of the town of Gmunden.
-
B.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
-
C.
Andreas Scholl
Andreas Scholl is a renowned German countertenor celebrated for his interpretations of Baroque and early music.
-
D.
Martin Reinfried
Martin Reinfried is an entrepreneur best known as the founder of the company Architext.
-
E.
Martin Reinfried
Martin Reinfried is an entrepreneur best known as a founder of the early internet search and web portal company Excite.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5cdf2d08190a0aecd3fa5335a75 |
completed | April 20, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fd529c8819099696dce6a9040de |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a161c8e88190a6f9c9abe3314487 |
completed | May 14, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a1cb500481908608daee7537dd0c |
completed | May 14, 2026, 10:19 a.m. |
Created at: April 10, 2026, noon