Triple
T3018751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gumbel |
E82401
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Gumbel (with umlaut: Gumbel/Gumbel) |
E82401
|
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: Gumbel (with umlaut: Gumbel/Gumbel) | Statement: [Gumbel, hasSpellingVariant, Gumbel (with umlaut: Gumbel/Gumbel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gumbel (with umlaut: Gumbel/Gumbel) Context triple: [Gumbel, hasSpellingVariant, Gumbel (with umlaut: Gumbel/Gumbel)]
-
A.
Gumbel
chosen
Gumbel is a surname most notably associated with American sportscaster Greg Gumbel.
-
B.
Gütermann
Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
-
C.
Lommel
Lommel is a municipality and city in the Belgian province of Limburg, known for its extensive forests, sand dunes, and glass industry.
-
D.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
-
E.
Gréber
Gréber is a French surname most notably associated with architect and urban planner Jacques Gréber.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a927b608190ba1392498507b237 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e71a9c08190848ecb3bcab18bb5 |
completed | March 11, 2026, 8:57 a.m. |
Created at: March 8, 2026, 3 p.m.