Triple
T19062117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinga Duda |
E466558
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Duda |
—
|
NE NERFINISHED |
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: Duda | Statement: [Kinga Duda, familyName, Duda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duda Context triple: [Kinga Duda, familyName, Duda]
-
A.
Duda
chosen
Duda is a Polish surname most prominently associated with Andrzej Duda, the President of Poland.
-
B.
El Duda
El Duda is a locality in Libya situated near the settlement of Belhamed, known primarily for its role in regional geography and transport routes.
-
C.
Duda-Gracz
Duda-Gracz is the distinctive Polish surname of the renowned painter and graphic artist Jerzy Duda-Gracz, known for his satirical and expressive depictions of Polish society.
-
D.
Doub
Doub is a character in August Wilson’s play "Jitney," one of the drivers at the unlicensed cab station whose personal struggles and interactions help illuminate the play’s themes of community, change, and survival in 1970s Pittsburgh.
-
E.
Incerto
Incerto is Nassim Nicholas Taleb’s multi-book philosophical and technical exploration of probability, uncertainty, risk, and decision-making in complex systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e195ac048190a57b57e585d022d4 |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.