Triple
T17273873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olga Masaryková |
E419334
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Masaryková |
E1257567
|
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: Masaryková | Statement: [Olga Masaryková, familyName, Masaryková]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masaryková Context triple: [Olga Masaryková, familyName, Masaryková]
-
A.
Masaryková
chosen
Masaryková is a Czech surname most notably borne by members of the Masaryk family, including sociologist and politician Alice Masaryková.
-
B.
Nemšová
Nemšová is a small town in western Slovakia known for its location near the Czech border and the Váh River within the Trenčín administrative area.
-
C.
Hradčanská
Hradčanská is a Prague Metro station on Line A located near Prague Castle in the Hradčany district.
-
D.
Němcová
Němcová is a Czech surname most famously borne by Božena Němcová, a pioneering 19th-century Czech writer and key figure of the Czech National Revival.
-
E.
Libuše
Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4c209c81909c713ed78f2cb19a |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794d605481908b5e430c3142c203 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.