Triple
T14864492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungarian National Museum |
E349581
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Mihály Pollack |
E634590
|
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: Mihály Pollack | Statement: [Hungarian National Museum, architect, Mihály Pollack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mihály Pollack Context triple: [Hungarian National Museum, architect, Mihály Pollack]
-
A.
Mihály Pollack
chosen
Mihály Pollack was a prominent 19th-century Hungarian architect known for his influential neoclassical buildings in Budapest.
-
B.
Mihály Pollacsek
Mihály Pollacsek was a Hungarian engineer and railway entrepreneur best known as the father of the philosopher and scientist Michael Polanyi and the economist Karl Polanyi.
-
C.
Zoltán Szilvássy
Zoltán Szilvássy is a Hungarian physician and academic who has served as rector of the University of Debrecen.
-
D.
Miklós Brodszky
Miklós Brodszky was a Hungarian-born composer best known for his popular film scores and songs written after emigrating to the United States.
-
E.
Ferenc Gyulay
Ferenc Gyulay was an Austrian Imperial general of Hungarian origin best known for leading Austrian forces during the early stages of the Second Italian War of Independence in 1859.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded574d0ec8190a6afed672ba6c2f9 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b4f224c8190bb2e06203c9b3a94 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:54 a.m.