Triple
T8970622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernő Gerő |
E214255
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ernő |
E563355
|
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: Ernő | Statement: [Ernő Gerő, givenName, Ernő]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernő Context triple: [Ernő Gerő, givenName, Ernő]
-
A.
Ernő
chosen
Ernő is a Hungarian-born British modernist architect best known for his influential and often controversial Brutalist buildings in London.
-
B.
László
László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
-
C.
Frigyes
Frigyes is a Hungarian masculine given name, notably borne by the influential mathematician Frigyes Riesz.
-
D.
György
György is a Hungarian given name commonly used for men, equivalent to the English name George.
-
E.
Lajos
Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67672c108190919ae6ca69b6291f |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0543acf50819091d0d831a106e169 |
completed | April 3, 2026, 11:58 p.m. |
Created at: March 30, 2026, 7:02 p.m.