Triple
T11909844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beck |
E283363
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Christian Beck
Christian Beck is a German professional footballer known for his prolific goal-scoring as a forward, particularly during his long spell at 1. FC Magdeburg.
|
E953012
|
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: Christian Beck | Statement: [Beck, hasNotableBearer, Christian Beck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Beck Context triple: [Beck, hasNotableBearer, Christian Beck]
-
A.
Eric Beck
Eric Beck is an American rock climber known for pioneering significant first ascents, including the classic Yosemite route Snake Dike on Half Dome.
-
B.
Christopher Beck
Christopher Beck is a Canadian composer best known for his film and television scores, including work on major Hollywood productions.
-
C.
Jason Beck
Jason Beck is the mayor of Peoria, Arizona, overseeing the city's local government and municipal affairs.
-
D.
Ben Becker
Ben Becker is a German actor known for his intense screen presence and roles in both film and theater.
-
E.
Ian Beck
Ian Beck is a British illustrator and author best known for his distinctive cover art and illustrations for books and music albums.
- 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: Christian Beck Triple: [Beck, hasNotableBearer, Christian Beck]
Generated description
Christian Beck is a German professional footballer known for his prolific goal-scoring as a forward, particularly during his long spell at 1. FC Magdeburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Beck Target entity description: Christian Beck is a German professional footballer known for his prolific goal-scoring as a forward, particularly during his long spell at 1. FC Magdeburg.
-
A.
Eric Beck
Eric Beck is an American rock climber known for pioneering significant first ascents, including the classic Yosemite route Snake Dike on Half Dome.
-
B.
Christopher Beck
Christopher Beck is a Canadian composer best known for his film and television scores, including work on major Hollywood productions.
-
C.
Jason Beck
Jason Beck is the mayor of Peoria, Arizona, overseeing the city's local government and municipal affairs.
-
D.
Ben Becker
Ben Becker is a German actor known for his intense screen presence and roles in both film and theater.
-
E.
Ian Beck
Ian Beck is a British illustrator and author best known for his distinctive cover art and illustrations for books and music albums.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5278eb081909a7ecfe38beeeda9 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f418543258819083b49a5bbdc520cd |
completed | May 1, 2026, 3:04 a.m. |
| NEDg | Description generation | batch_69f41f1e746c81909f78f0e0bf173c7b |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f42291f3608190ab079f939d34cf15 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.