Triple
T7657177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ormond |
E173412
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ormond Aebi
Ormond Aebi was an American beekeeper and innovator known for setting world records in honey production and pioneering modern beekeeping techniques.
|
E689044
|
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: Ormond Aebi | Statement: [Ormond, hasNotableBearer, Ormond Aebi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ormond Aebi Context triple: [Ormond, hasNotableBearer, Ormond Aebi]
-
A.
Melchior Anderegg
Melchior Anderegg was a pioneering 19th-century Swiss mountain guide and alpinist renowned for making many first ascents in the Alps.
-
B.
Felix Salzmann
Felix Salzmann is an individual notable enough to be recognized as a distinguished bearer of the Salzmann surname.
-
C.
Alfred Wehrli
Alfred Wehrli was a notable figure significant enough in his community or institution to have Benedetti–Wehrli Stadium named in his honor.
-
D.
Oscar Riedener
Oscar Riedener was a Swiss-born designer for Tiffany & Co. best known for creating the iconic Vince Lombardi Trophy awarded to the Super Bowl champion.
-
E.
Alberto Ammann
Alberto Ammann is an Argentine-Spanish actor known for his roles in films like "Cell 211" and the TV series "Narcos" and "Mars."
- 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: Ormond Aebi Triple: [Ormond, hasNotableBearer, Ormond Aebi]
Generated description
Ormond Aebi was an American beekeeper and innovator known for setting world records in honey production and pioneering modern beekeeping techniques.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ormond Aebi Target entity description: Ormond Aebi was an American beekeeper and innovator known for setting world records in honey production and pioneering modern beekeeping techniques.
-
A.
Melchior Anderegg
Melchior Anderegg was a pioneering 19th-century Swiss mountain guide and alpinist renowned for making many first ascents in the Alps.
-
B.
Felix Salzmann
Felix Salzmann is an individual notable enough to be recognized as a distinguished bearer of the Salzmann surname.
-
C.
Alfred Wehrli
Alfred Wehrli was a notable figure significant enough in his community or institution to have Benedetti–Wehrli Stadium named in his honor.
-
D.
Oscar Riedener
Oscar Riedener was a Swiss-born designer for Tiffany & Co. best known for creating the iconic Vince Lombardi Trophy awarded to the Super Bowl champion.
-
E.
Alberto Ammann
Alberto Ammann is an Argentine-Spanish actor known for his roles in films like "Cell 211" and the TV series "Narcos" and "Mars."
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7018fcbb48190a479f2effd939a8e |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8eefc58f08190b6d57608a2a296c8 |
completed | March 29, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69c8efec66d08190a6363b563c0c32cd |
completed | March 29, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8f0426d84819088b319f24c626cb3 |
completed | March 29, 2026, 9:26 a.m. |
Created at: March 27, 2026, 3:59 p.m.