Triple
T13248014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takács |
E315454
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Károly Takács |
E80616
|
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: Károly Takács | Statement: [Takács, notableBearer, Károly Takács]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Károly Takács Context triple: [Takács, notableBearer, Károly Takács]
-
A.
László Takács
László Takács is a Hungarian mathematician known for his contributions to probability theory and queueing theory.
-
B.
József Takács
József Takács is a Hungarian footballer known for his contributions to early 20th-century Hungarian club and national teams.
-
C.
Jenő Takács
Jenő Takács was a Hungarian-born composer, pianist, and musicologist known for blending Central European musical traditions with modernist influences and for his extensive teaching and research career.
-
D.
Karoly Takacs
chosen
Károly Takács was a Hungarian sport shooter and two-time Olympic gold medalist renowned for overcoming the loss of his right hand by retraining himself to shoot left-handed.
-
E.
Károly Szita
Károly Szita is a Hungarian politician who has long served as the mayor of the city of Kaposvár.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d9e7ea881908abc4b3a54896692 |
completed | April 10, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d7edb40819095dfa45d3c61a0e3 |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:24 p.m.