Triple
T2952879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huber |
E79860
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Peter Huber
Peter Huber is a relatively common personal name shared by multiple individuals across various professions, including law, politics, and academia.
|
E315088
|
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: Peter Huber | Statement: [Huber, hasNotableBearer, Peter Huber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Huber Context triple: [Huber, hasNotableBearer, Peter Huber]
-
A.
Philip Steuer
Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
-
B.
Michael Lehmann
Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
-
C.
Peter R. Hunt
Peter R. Hunt was a British film editor and director best known for his long association with the James Bond series, including directing the 1969 film "On Her Majesty's Secret Service."
-
D.
Peter A. Ziegler
Peter A. Ziegler was a prominent Swiss geologist known for his influential work on the tectonic evolution and geological history of Europe.
-
E.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
- 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: Peter Huber Triple: [Huber, hasNotableBearer, Peter Huber]
Generated description
Peter Huber is a relatively common personal name shared by multiple individuals across various professions, including law, politics, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Huber Target entity description: Peter Huber is a relatively common personal name shared by multiple individuals across various professions, including law, politics, and academia.
-
A.
Philip Steuer
Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
-
B.
Michael Lehmann
Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
-
C.
Peter R. Hunt
Peter R. Hunt was a British film editor and director best known for his long association with the James Bond series, including directing the 1969 film "On Her Majesty's Secret Service."
-
D.
Peter A. Ziegler
Peter A. Ziegler was a prominent Swiss geologist known for his influential work on the tectonic evolution and geological history of Europe.
-
E.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fe4b688190a0f68c4f80cd6f8f |
completed | March 8, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc82d1248190869beffffc0bf956 |
completed | March 11, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69b0fd25e07c819088b2b1bcef4cf54e |
completed | March 11, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b100ecbee081908832ddec0efdc751 |
completed | March 11, 2026, 5:43 a.m. |
Created at: March 8, 2026, 2:57 p.m.