Triple
T10807003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | András Gróf |
E254993
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gróf |
E239460
|
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: Gróf | Statement: [András Gróf, familyName, Gróf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gróf Context triple: [András Gróf, familyName, Gróf]
-
A.
Gróf
chosen
Gróf is the original Hungarian family name of Andrew S. Grove, the influential former CEO and co-founder of Intel Corporation.
-
B.
Weisskunig
Weisskunig is a partly autobiographical, allegorical chivalric romance and propaganda work about Emperor Maximilian I, written in German in the early 16th century.
-
C.
Hyllus
Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
-
D.
Burggraf
Burggraf was a medieval noble title in German-speaking regions denoting the lord or governor of a castle and its surrounding territory, often with both military and administrative authority.
-
E.
Rigmor
Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
- 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_69de8513fe0881909d6833c85aac03a8 |
completed | April 14, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:18 p.m.