Triple
T20338366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philharmonia Hungarica |
E495673
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Hungaroton |
—
|
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: Hungaroton | Statement: [Philharmonia Hungarica, recordLabel, Hungaroton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hungaroton Context triple: [Philharmonia Hungarica, recordLabel, Hungaroton]
-
A.
Hungaroton
chosen
Hungaroton is a major Hungarian record label known for its extensive catalog of classical, folk, and contemporary music, particularly featuring Hungarian artists and composers.
-
B.
Hungarica
Hungarica refers to publications and documents related to Hungary or Hungarians, regardless of where they were produced.
-
C.
Pista
Pista is a Hungarian diminutive form of the male given name István, commonly used as a familiar or affectionate nickname.
-
D.
Hajos
Hajos is a surname most notably associated with Karl Hajos, a Hungarian-American composer known for his film scores in early Hollywood cinema.
-
E.
Hajdúnánás
Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678332bd08190a83880fb6aa32e08 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:23 a.m.