Triple
T13657216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerner |
E326891
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Max Kerner |
E760289
|
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: Max Kerner | Statement: [Kerner, hasNotableBearer, Max Kerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Kerner Context triple: [Kerner, hasNotableBearer, Max Kerner]
-
A.
Karl Kebach
Karl Kebach was a landscape architect known for designing the park surrounding the Vorontsov Palace in Crimea.
-
B.
Carl Kellner
Carl Kellner was an Austrian industrialist and esotericist best known as the principal originator of the occult initiatory organization Ordo Templi Orientis.
-
C.
Karl Krueger
Karl Krueger was an American conductor known for his work with major orchestras and for making early high-fidelity orchestral recordings.
-
D.
Max Körner
chosen
Max Körner is a relatively obscure individual about whom no widely known biographical or contextual information is readily available.
-
E.
Leo Klier
Leo Klier was an American professional basketball player and two-time All-American at Notre Dame who played in the early years of the Basketball Association of America (BAA).
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46175b88190ae687073ddaa3d22 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 9, 2026, 9:52 p.m.