Triple
T13881204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferenc Molnár |
E333719
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Mór Neumann |
E812818
|
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: Mór Neumann | Statement: [Ferenc Molnár, parent, Mór Neumann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mór Neumann Context triple: [Ferenc Molnár, parent, Mór Neumann]
-
A.
Mihály Neumann
chosen
Mihály Neumann was a member of the prominent Hungarian-Jewish von Neumann family, known for producing influential figures in mathematics and science.
-
B.
Tibor Radó
Tibor Radó was a Hungarian-American mathematician known for his contributions to real analysis, topology, and the theory of surfaces, including work related to the Jordan curve theorem.
-
C.
Laszlo Molnar
Laszlo Molnar is a software developer and author known for creating the UPX (Ultimate Packer for Executables) executable compression tool.
-
D.
Béla Szőkefalvi-Nagy
Béla Szőkefalvi-Nagy was a Hungarian mathematician renowned for his contributions to functional analysis and operator theory.
-
E.
Pál Kalmár
Pál Kalmár was a Hungarian singer best known for his early and influential recording of the melancholic song "Gloomy Sunday."
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be8566881908b8902e3cd567669 |
completed | April 14, 2026, 9:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c711f9b08190aa5981320597e83b |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.