Triple
T1638126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mueller |
E35403
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Louise Mueller
Louise Mueller is a notable individual who shares the surname Mueller and has achieved sufficient recognition to be distinguished among its bearers.
|
E227484
|
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: Louise Mueller | Statement: [Mueller, hasNotableBearer, Louise Mueller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise Mueller Context triple: [Mueller, hasNotableBearer, Louise Mueller]
-
A.
Marie Reimer
Marie Reimer was the wife of renowned German classical scholar and historian Theodor Mommsen.
-
B.
Marie Meyer
Marie Meyer was the wife of the prominent German historian Eduard Meyer.
-
C.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
D.
Marie Ortmann
Marie Ortmann was the mother of aviation pioneer and Boeing Company founder William E. Boeing.
-
E.
Jeanne Rosenberg
Jeanne Rosenberg is an American screenwriter best known for her work on the acclaimed 1979 film adaptation of "The Black Stallion" and other family-oriented adventure films.
- 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: Louise Mueller Triple: [Mueller, hasNotableBearer, Louise Mueller]
Generated description
Louise Mueller is a notable individual who shares the surname Mueller and has achieved sufficient recognition to be distinguished among its bearers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Louise Mueller Target entity description: Louise Mueller is a notable individual who shares the surname Mueller and has achieved sufficient recognition to be distinguished among its bearers.
-
A.
Marie Reimer
Marie Reimer was the wife of renowned German classical scholar and historian Theodor Mommsen.
-
B.
Marie Meyer
Marie Meyer was the wife of the prominent German historian Eduard Meyer.
-
C.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
D.
Marie Ortmann
Marie Ortmann was the mother of aviation pioneer and Boeing Company founder William E. Boeing.
-
E.
Jeanne Rosenberg
Jeanne Rosenberg is an American screenwriter best known for her work on the acclaimed 1979 film adaptation of "The Black Stallion" and other family-oriented adventure films.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a1ac46081909f10e793898a9911 |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fb8b14c8190abbcc24f17fa8243 |
completed | March 9, 2026, 1:17 a.m. |
| NEDg | Description generation | batch_69ae204fe6148190915219beb27128bc |
completed | March 9, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae20d09c748190aebbfb88f0eedbaa |
completed | March 9, 2026, 1:22 a.m. |
Created at: March 4, 2026, 7:28 p.m.