Triple
T11923218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zora Vesecká |
E283710
|
entity |
| Predicate | nameInLatinAlphabet |
P22444
|
FINISHED |
| Object | Zora Vesecká |
E283710
|
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: Zora Vesecká | Statement: [Zora Vesecká, nameInLatinAlphabet, Zora Vesecká]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zora Vesecká Context triple: [Zora Vesecká, nameInLatinAlphabet, Zora Vesecká]
-
A.
Zora Vesecká
chosen
Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
-
B.
Zora Jandová
Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
-
C.
Zora Rozsypalová
Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
-
D.
Selma Ježková
Selma Ježková is the tragic, near-blind Czech immigrant and factory worker portrayed by Björk in Lars von Trier’s musical drama film "Dancer in the Dark."
-
E.
Anna Geislerová
Anna Geislerová is a prominent Czech film and television actress known for her acclaimed performances in both domestic and international productions.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e2fc648190a446c1917db1c7d9 |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f44042cf1c81909de44acfe1202482 |
completed | May 1, 2026, 5:55 a.m. |
Created at: April 8, 2026, 9:45 p.m.