Triple
T4361774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philhellenes |
E98676
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Kossuth |
E350609
|
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: Kossuth | Statement: [Philhellenes, hasNotableMember, Kossuth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kossuth Context triple: [Philhellenes, hasNotableMember, Kossuth]
-
A.
Lajos Kossuth
chosen
Lajos Kossuth was a 19th-century Hungarian lawyer, journalist, and statesman who became a leading figure of the 1848–49 revolution and a symbol of the struggle for Hungarian independence.
-
B.
Miklós
Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
-
C.
Leo Janos
Leo Janos was an American writer and journalist best known for co-authoring the autobiography of legendary test pilot Chuck Yeager.
-
D.
Zala György
Zala György was a Hungarian sculptor best known for his monumental public statues and memorials in Budapest at the turn of the 20th century.
-
E.
Miklós Ybl
Miklós Ybl was a prominent 19th-century Hungarian architect renowned for his influential role in shaping Budapest’s historic cityscape.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e47d388190b31500189577cd75 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e504f7b88190abc3e999c499920d |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:16 p.m.