Triple
T10957298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keteleeria davidiana |
E258878
|
entity |
| Predicate | authority |
P1330
|
FINISHED |
| Object |
(Bertrand) Beissner
Bertrand Beissner was a botanist who formally described and classified the conifer species Keteleeria davidiana.
|
E896651
|
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: (Bertrand) Beissner | Statement: [Keteleeria davidiana, authority, (Bertrand) Beissner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: (Bertrand) Beissner Context triple: [Keteleeria davidiana, authority, (Bertrand) Beissner]
-
A.
Marcel Beyer
Marcel Beyer is a contemporary German writer and poet known for his innovative prose and explorations of history, memory, and language.
-
B.
Joseph Weisbecker
Joseph Weisbecker was an American engineer and computer designer best known for pioneering early hobbyist microcomputers and educational computing systems in the 1970s.
-
C.
F. Becker
F. Becker was a mountaineer known for participating in the first ascent of the Lenzspitze in the Swiss Alps.
-
D.
B.E. Brauner
B.E. Brauner is a screenwriter best known for co-writing the romantic comedy film "Deliver Us from Eva."
-
E.
Alexander Beyer
Alexander Beyer is a German actor known for his roles in film and television, including the Cold War drama series "Deutschland 86."
- 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: (Bertrand) Beissner Triple: [Keteleeria davidiana, authority, (Bertrand) Beissner]
Generated description
Bertrand Beissner was a botanist who formally described and classified the conifer species Keteleeria davidiana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: (Bertrand) Beissner Target entity description: Bertrand Beissner was a botanist who formally described and classified the conifer species Keteleeria davidiana.
-
A.
Marcel Beyer
Marcel Beyer is a contemporary German writer and poet known for his innovative prose and explorations of history, memory, and language.
-
B.
Joseph Weisbecker
Joseph Weisbecker was an American engineer and computer designer best known for pioneering early hobbyist microcomputers and educational computing systems in the 1970s.
-
C.
F. Becker
F. Becker was a mountaineer known for participating in the first ascent of the Lenzspitze in the Swiss Alps.
-
D.
B.E. Brauner
B.E. Brauner is a screenwriter best known for co-writing the romantic comedy film "Deliver Us from Eva."
-
E.
Alexander Beyer
Alexander Beyer is a German actor known for his roles in film and television, including the Cold War drama series "Deutschland 86."
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771260e9881909401a7a7466e1b8a |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7439204819092fcd061a161fd7b |
completed | April 18, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69e2ff1ddd2c8190b31f5007f7492a4e |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3260494bc81909e3dd4829697fb72 |
completed | April 18, 2026, 6:34 a.m. |
Created at: April 8, 2026, 9:23 p.m.