Triple
T14418856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engle |
E357526
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Engel |
E385482
|
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: Engel | Statement: [Engle, hasVariant, Engel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engel Context triple: [Engle, hasVariant, Engel]
-
A.
Engel
chosen
Engel is a German-origin surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
B.
Nitzschka
Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
-
C.
Eichinger
Eichinger is a German surname most prominently associated with the influential film producer and screenwriter Bernd Eichinger.
-
D.
Meisel
Meisel is a German-language surname borne by various notable individuals in fields such as music, academia, and public life.
-
E.
Englehart
Englehart is a small town located in the Timiskaming District of northeastern Ontario, Canada.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de910eb354819089d5d5a46919eb49 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc961c48190b67dceb2f07977fd |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.