Triple
T19971453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxembourg at the Olympic Games |
E480084
|
entity |
| Predicate | notableAthlete |
P10392
|
FINISHED |
| Object |
Marie Muller
Marie Muller is a Luxembourgish judoka who has represented Luxembourg at the Olympic Games.
|
E1407941
|
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: Marie Muller | Statement: [Luxembourg at the Olympic Games, notableAthlete, Marie Muller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Muller Context triple: [Luxembourg at the Olympic Games, notableAthlete, Marie Muller]
-
A.
Marie Meyer
Marie Meyer was the wife of the prominent German historian Eduard Meyer.
-
B.
Marie Steinmann
Marie Steinmann is a German film producer and philanthropist known for her work in cinema and her long-term partnership with director Tom Tykwer.
-
C.
Alma Muller
Alma Muller was the wife of American character actor Frank Morgan, best known for his role as the Wizard in the 1939 film "The Wizard of Oz."
-
D.
Maria Muhlmann
Maria Muhlmann is an individual honored by the Maria and Eric Muhlmann Award, indicating her notable contributions or significance in the field recognized by that prize.
-
E.
Marie Goesler
Marie Goesler is a central fictional character in Anthony Trollope’s political novel series "The Pallisers," known for her intelligence, independence, and complex romantic and social entanglements within high society.
- 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: Marie Muller Triple: [Luxembourg at the Olympic Games, notableAthlete, Marie Muller]
Generated description
Marie Muller is a Luxembourgish judoka who has represented Luxembourg at the Olympic Games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marie Muller Target entity description: Marie Muller is a Luxembourgish judoka who has represented Luxembourg at the Olympic Games.
-
A.
Marie Meyer
Marie Meyer was the wife of the prominent German historian Eduard Meyer.
-
B.
Marie Steinmann
Marie Steinmann is a German film producer and philanthropist known for her work in cinema and her long-term partnership with director Tom Tykwer.
-
C.
Alma Muller
Alma Muller was the wife of American character actor Frank Morgan, best known for his role as the Wizard in the 1939 film "The Wizard of Oz."
-
D.
Maria Muhlmann
Maria Muhlmann is an individual honored by the Maria and Eric Muhlmann Award, indicating her notable contributions or significance in the field recognized by that prize.
-
E.
Marie Goesler
Marie Goesler is a central fictional character in Anthony Trollope’s political novel series "The Pallisers," known for her intelligence, independence, and complex romantic and social entanglements within high society.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc9694881909a31841702ab9e5f |
completed | April 20, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e17a53c8190b3f0957ded38bd5d |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080fcaa49881908016c87f2aeb880f |
completed | May 16, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0813a9147c8190ad9f98ab36b363e2 |
completed | May 16, 2026, 6:50 a.m. |
Created at: April 10, 2026, 1:54 p.m.