Triple
T5597358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atentát |
E147030
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jiří Sequens |
E562723
|
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: Jiří Sequens | Statement: [Atentát, screenwriter, Jiří Sequens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiří Sequens Context triple: [Atentát, screenwriter, Jiří Sequens]
-
A.
Jiří Sequens
chosen
Jiří Sequens was a Czech film and television director best known for his politically charged dramas and crime series produced during the communist era in Czechoslovakia.
-
B.
Jiří Paroubek
Jiří Paroubek is a Czech politician who served as Prime Minister of the Czech Republic and a leading figure in the country’s social democratic movement.
-
C.
Miroslav Ondříček
Miroslav Ondříček was a renowned Czech cinematographer known for his collaborations with director Miloš Forman on films such as "Amadeus" and "Ragtime."
-
D.
Jiří Orten
Jiří Orten was a Czech Jewish poet known for his lyrical, introspective verse and his tragic early death during World War II.
-
E.
Josef Zítek
Josef Zítek was a 19th-century Czech architect best known for his monumental Neo-Renaissance designs that helped shape Prague’s cultural and urban landscape.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020c126088190914ef7b575d800e4 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11335c29c8190b8b99acee7214f6f |
completed | March 23, 2026, 10:17 a.m. |
Created at: March 22, 2026, 3:38 p.m.