Triple
T19190390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emile Berliner |
E469819
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Berliner |
—
|
NE NERFINISHED |
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: Berliner | Statement: [Emile Berliner, familyName, Berliner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berliner Context triple: [Emile Berliner, familyName, Berliner]
-
A.
Berliner
chosen
Berliner is a German-origin surname most notably associated with Emile Berliner, the inventor of the gramophone and a pioneer in sound recording technology.
-
B.
Berlinchen
Berlinchen is a small town in what is now Poland (formerly part of Germany) known historically as the birthplace of world chess champion Emanuel Lasker.
-
C.
New Berlin
New Berlin is a suburban city in Waukesha County, Wisconsin, located just west of Milwaukee and known for its residential communities and light industry.
-
D.
New Berlin
New Berlin is a small village in Sangamon County, Illinois, located near Springfield and known for its rural Midwestern character.
-
E.
Berlin B
Berlin B is one of the public transport fare zones in Berlin, covering the outer areas of the city beyond the central A zone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a16e20819080baa5112f000b41 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.