Triple
T20923565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne-Sophie Mutter |
E515276
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mutter |
—
|
NE NERFINISHED |
How this triple was built (2 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: Mutter | Statement: [Anne-Sophie Mutter, familyName, Mutter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutter Context triple: [Anne-Sophie Mutter, familyName, Mutter]
-
A.
Mutter
chosen
Mutter is the window manager and Wayland compositor used by the GNOME desktop environment to handle graphical display and window management.
-
B.
Mama
Mama is a key supporting character in the video game "Death Stranding," a brilliant yet tragic scientist who aids protagonist Sam Porter Bridges with her expertise in chiral technology.
-
C.
Mama
"Mama" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
-
D.
Mama
Mama is one of the four main playable protagonists in the Japanese Famicom platform game Yume Kōjō: Doki Doki Panic, later adapted into Super Mario Bros. 2.
-
E.
Mama
Mama is a monumental wooden sculpture by contemporary artist Ursula von Rydingsvard, known for her large-scale, hand-carved cedar works that evoke organic and architectural forms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6504c30819084e8cabab98d08f7 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.