Triple
T3233133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannelore Kohl |
E67788
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kohl |
E64832
|
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: Kohl | Statement: [Hannelore Kohl, familyName, Kohl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kohl Context triple: [Hannelore Kohl, familyName, Kohl]
-
A.
Kohl
chosen
Kohl is a German surname most prominently associated with Helmut Kohl, the long-serving Chancellor of Germany who oversaw the country’s reunification.
-
B.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
-
C.
Kao
Kao is a Chinese surname borne by numerous individuals, including notable figures in science, business, and the arts.
-
D.
Kel Tagelmust
Kel Tagelmust are a subgroup of the Tuareg people of the Sahara, traditionally known for their indigo-dyed clothing that stains their skin and gives rise to the nickname "Blue People."
-
E.
Red Faber
Red Faber was a Hall of Fame Major League Baseball pitcher best known for his long career with the Chicago White Sox in the 1910s and 1920s.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaedb718c8190aae12f763033713a |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324f1baec8190b076b65fd7e4be2a |
completed | March 12, 2026, 8:41 p.m. |
Created at: March 8, 2026, 3:08 p.m.