Triple
T2470244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunnar Birkerts |
E55353
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Birkerts
Birkerts is a Latvian-origin surname notably associated with architect Gunnar Birkerts and other prominent figures in arts and letters.
|
E269690
|
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: Birkerts | Statement: [Gunnar Birkerts, familyName, Birkerts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birkerts Context triple: [Gunnar Birkerts, familyName, Birkerts]
-
A.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
B.
Weil der Stadt
Weil der Stadt is a historic small town in the German state of Baden-Württemberg, best known as the birthplace of the astronomer and mathematician Johannes Kepler.
-
C.
Barnes
Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
-
D.
Barnes
Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
-
E.
Leer
Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
- 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: Birkerts Triple: [Gunnar Birkerts, familyName, Birkerts]
Generated description
Birkerts is a Latvian-origin surname notably associated with architect Gunnar Birkerts and other prominent figures in arts and letters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Birkerts Target entity description: Birkerts is a Latvian-origin surname notably associated with architect Gunnar Birkerts and other prominent figures in arts and letters.
-
A.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
B.
Weil der Stadt
Weil der Stadt is a historic small town in the German state of Baden-Württemberg, best known as the birthplace of the astronomer and mathematician Johannes Kepler.
-
C.
Barnes
Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
-
D.
Barnes
Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
-
E.
Leer
Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd135c64881908cccde3317d14b67 |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17a29c2c8190b9e7b49d086ad9d5 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af183b63848190ac62869b1fdb672c |
completed | March 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af18fc1a0c8190aeb24f304cbba35b |
completed | March 9, 2026, 7:01 p.m. |
Created at: March 6, 2026, 9:44 p.m.