Triple
T15826572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Božena of Bohemia |
E383757
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Božena |
E1100503
|
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: Božena | Statement: [Božena of Bohemia, givenName, Božena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Božena Context triple: [Božena of Bohemia, givenName, Božena]
-
A.
Božena
chosen
Božena is a Czech feminine given name most famously borne by the 19th-century writer Božena Němcová, a key figure in Czech literature and national revival.
-
B.
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.
-
C.
Mária
Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
-
D.
Zátopková
Zátopková is the surname of Dana Zátopková, a renowned Czech javelin thrower and Olympic champion.
-
E.
Zora Vesecká
Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e60fe748190baa49c49605efd0d |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999da5008190921b3f129787999e |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.