Triple
T14710561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meyer |
E345534
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Helene Meyer
Helene Meyer is a notable individual who shares the surname Meyer and is recognized for her distinct personal achievements or public significance.
|
E1123344
|
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: Helene Meyer | Statement: [Meyer, hasNotableBearer, Helene Meyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helene Meyer Context triple: [Meyer, hasNotableBearer, Helene Meyer]
-
A.
Helene Weber
Helene Weber was a German politician and one of the few women involved in drafting both the Weimar and post–World War II German constitutions.
-
B.
Hertha Schön
Hertha Schön was the wife of German Luftwaffe fighter ace Günther Rall.
-
C.
Gisela Richter
Gisela Richter was a prominent German-born American classical archaeologist and art historian known for her influential work on Greek sculpture and vase painting.
-
D.
Eleonore Kohl
Eleonore Kohl is an alternative name used for Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl and a prominent public figure in Germany.
-
E.
Margarete Gebhardt
Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
- 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: Helene Meyer Triple: [Meyer, hasNotableBearer, Helene Meyer]
Generated description
Helene Meyer is a notable individual who shares the surname Meyer and is recognized for her distinct personal achievements or public significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helene Meyer Target entity description: Helene Meyer is a notable individual who shares the surname Meyer and is recognized for her distinct personal achievements or public significance.
-
A.
Helene Weber
Helene Weber was a German politician and one of the few women involved in drafting both the Weimar and post–World War II German constitutions.
-
B.
Hertha Schön
Hertha Schön was the wife of German Luftwaffe fighter ace Günther Rall.
-
C.
Gisela Richter
Gisela Richter was a prominent German-born American classical archaeologist and art historian known for her influential work on Greek sculpture and vase painting.
-
D.
Eleonore Kohl
Eleonore Kohl is an alternative name used for Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl and a prominent public figure in Germany.
-
E.
Margarete Gebhardt
Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64ee4284819093db172023e9fe87 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe666122ec8190b650141e3c062294 |
completed | May 8, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66be64808190bab35f07d556d446 |
completed | May 8, 2026, 10:42 p.m. |
Created at: April 10, 2026, 1:28 a.m.