Triple
T14171573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mössinger |
E351219
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Ingrid Mössinger |
E66583
|
NE FINISHED |
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: Ingrid Mössinger | Statement: [Mössinger, hasNotableBearer, Ingrid Mössinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingrid Mössinger Context triple: [Mössinger, hasNotableBearer, Ingrid Mössinger]
-
A.
Ingrid Mössinger
chosen
Ingrid Mössinger is a German art historian and curator known for her influential leadership roles at major contemporary art institutions.
-
B.
Birgit Menzel
Birgit Menzel is a scholar and academic known for her work in Slavic studies and Russian literature and culture.
-
C.
Ute Grunert
Ute Grunert is known as the spouse of Nobel Prize–winning German author Günter Grass.
-
D.
Birgit Hogefeld
Birgit Hogefeld is a former member of the German left-wing militant organization Red Army Faction (RAF) who was involved in several terrorist activities during the 1980s and early 1990s.
-
E.
Birgit Kroencke
Birgit Kroencke is a Danish former model and painter best known as the longtime wife of British actor Christopher Lee.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d0711688190ab8e90f403082d7a |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 10, 2026, 1:01 a.m.