Triple
T10263692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiegand |
E240662
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Patrick Wiegand
Patrick Wiegand is a British cartographer and academic known for his work on map design and geography education.
|
E906171
|
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: Patrick Wiegand | Statement: [Wiegand, hasNotableBearer, Patrick Wiegand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Wiegand Context triple: [Wiegand, hasNotableBearer, Patrick Wiegand]
-
A.
Thomas Wiegand
Thomas Wiegand is a German electrical engineer and video coding expert best known for his leading role in developing the H.264/AVC video compression standard.
-
B.
Richard Riehle
Richard Riehle is an American character actor known for his prolific work in film and television, including memorable roles in movies like "Office Space" and numerous guest appearances on popular TV series.
-
C.
Kirk Stievely
Kirk Stievely is a British actor best known as the former husband of actress Victoria Tennant.
-
D.
Wayne Wahrman
Wayne Wahrman is a film editor best known for his work on major Hollywood productions, including the post-apocalyptic thriller "I Am Legend."
-
E.
John Diehl
John Diehl is an American character actor best known for his role as Detective Larry Zito on the 1980s television series "Miami Vice."
- 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: Patrick Wiegand Triple: [Wiegand, hasNotableBearer, Patrick Wiegand]
Generated description
Patrick Wiegand is a British cartographer and academic known for his work on map design and geography education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrick Wiegand Target entity description: Patrick Wiegand is a British cartographer and academic known for his work on map design and geography education.
-
A.
Thomas Wiegand
Thomas Wiegand is a German electrical engineer and video coding expert best known for his leading role in developing the H.264/AVC video compression standard.
-
B.
Richard Riehle
Richard Riehle is an American character actor known for his prolific work in film and television, including memorable roles in movies like "Office Space" and numerous guest appearances on popular TV series.
-
C.
Kirk Stievely
Kirk Stievely is a British actor best known as the former husband of actress Victoria Tennant.
-
D.
Wayne Wahrman
Wayne Wahrman is a film editor best known for his work on major Hollywood productions, including the post-apocalyptic thriller "I Am Legend."
-
E.
John Diehl
John Diehl is an American character actor best known for his role as Detective Larry Zito on the 1980s television series "Miami Vice."
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25e68fc8190b46699d2266c0505 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d406e2c8190ad27f3a5276be25f |
completed | April 19, 2026, 1:17 a.m. |
| NEDg | Description generation | batch_69e4374700b881908ebb185ae020487b |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4399385c08190852c3cbd730a1f11 |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 6, 2026, 11:33 a.m.