Triple
T14167195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borchers |
E351110
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kurt Borchers
Kurt Borchers is a relatively obscure individual known primarily through records that list him as a notable bearer of the surname Borchers.
|
E1096169
|
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: Kurt Borchers | Statement: [Borchers, hasNotableBearer, Kurt Borchers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurt Borchers Context triple: [Borchers, hasNotableBearer, Kurt Borchers]
-
A.
Ben Fankhauser
Ben Fankhauser is an American stage actor and singer best known for originating the role of Davey in the Broadway production of the musical "Newsies."
-
B.
Karl VanDevender
Karl VanDevender is an American physician best known as the husband of acclaimed novelist Ann Patchett.
-
C.
Kurt Fischer
Kurt Fischer is a theatrical sound designer best known for his work on the original Broadway production of the musical "Rent."
-
D.
Kurt Unger
Kurt Unger is a film producer best known for his work on the 1971 drama "The Love Machine," adapted from Jacqueline Susann’s novel.
-
E.
Kurt Voss
Kurt Voss is an American filmmaker and screenwriter known for his work in independent cinema, often exploring gritty, character-driven stories.
- 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: Kurt Borchers Triple: [Borchers, hasNotableBearer, Kurt Borchers]
Generated description
Kurt Borchers is a relatively obscure individual known primarily through records that list him as a notable bearer of the surname Borchers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kurt Borchers Target entity description: Kurt Borchers is a relatively obscure individual known primarily through records that list him as a notable bearer of the surname Borchers.
-
A.
Ben Fankhauser
Ben Fankhauser is an American stage actor and singer best known for originating the role of Davey in the Broadway production of the musical "Newsies."
-
B.
Karl VanDevender
Karl VanDevender is an American physician best known as the husband of acclaimed novelist Ann Patchett.
-
C.
Kurt Fischer
Kurt Fischer is a theatrical sound designer best known for his work on the original Broadway production of the musical "Rent."
-
D.
Kurt Unger
Kurt Unger is a film producer best known for his work on the 1971 drama "The Love Machine," adapted from Jacqueline Susann’s novel.
-
E.
Kurt Voss
Kurt Voss is an American filmmaker and screenwriter known for his work in independent cinema, often exploring gritty, character-driven stories.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c27b7088190bd7714391d0536b1 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd50122c2881909590104b64c90c43 |
completed | May 8, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd50892894819084e040cf2e4f205b |
completed | May 8, 2026, 2:55 a.m. |
Created at: April 10, 2026, 1 a.m.