Triple
T10807002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | András Gróf |
E254993
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | András |
E254993
|
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: András | Statement: [András Gróf, givenName, András]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: András Context triple: [András Gróf, givenName, András]
-
A.
András
chosen
András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
-
B.
Sándor
Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
-
C.
Gergő
Gergő is a Hungarian masculine given name, commonly used as a familiar or diminutive form of Gergely (the Hungarian equivalent of Gregory).
-
D.
Lajos
Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
-
E.
Béla
Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b3f92c8190bcc85db22d77bb7d |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0d849888190be46616ecc97c2b1 |
completed | April 14, 2026, 9:25 p.m. |
Created at: April 8, 2026, 9:18 p.m.