Triple
T15271568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. Robert Kehler |
E365031
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kehler |
E365032
|
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: Kehler | Statement: [C. Robert Kehler, familyName, Kehler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kehler Context triple: [C. Robert Kehler, familyName, Kehler]
-
A.
Kehler
chosen
Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
-
B.
Kehrl
Kehrl is a German surname most notably associated with Hans Kehrl, a Nazi-era economist and industrial official.
-
C.
Kaneholler
Kaneholler is an electronic pop duo fronted by vocalist Chelsea Tyler, known for blending soulful vocals with synth-driven, beat-heavy production.
-
D.
Kerzers
Kerzers is a municipality in the canton of Fribourg in western Switzerland, known for its bilingual character and proximity to the Papiliorama butterfly and tropical gardens.
-
E.
Krenkel
Krenkel is a German-language surname most notably associated with the polar explorer Ernst Krenkel.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094eac848190a1740ae1aa6b28e0 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee6046a088190a9ebea7672e36b73 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.