Triple
T9955539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prinz |
E195436
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Birgit Prinz |
E572917
|
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: Birgit Prinz | Statement: [Prinz, hasNotableBearer, Birgit Prinz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birgit Prinz Context triple: [Prinz, hasNotableBearer, Birgit Prinz]
-
A.
Birgit Prinz
chosen
Birgit Prinz is a legendary German footballer widely regarded as one of the greatest female strikers of all time, known for her prolific scoring record and multiple World Cup and European Championship titles.
-
B.
Katrin Brenner
Katrin Brenner is a German local politician who serves as the mayor of the town of Sundern in North Rhine-Westphalia.
-
C.
Verena Rehm
Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
-
D.
Maria Borgel
Maria Borgel is known as the wife of German film director Wolfgang Petersen.
-
E.
Verena Becker
Verena Becker is a former member of the German left-wing militant group Movement 2 June, known for her involvement in political violence and subsequent legal proceedings in the 1970s and 1980s.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb69631d08190ab2b1d1c22d46da7 |
completed | April 2, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d6743c481908a2040eb9d260b4a |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:46 p.m.