Triple
T9440423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolf Pokorny |
E227629
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pokorny |
E520584
|
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: Pokorny | Statement: [Adolf Pokorny, familyName, Pokorny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pokorny Context triple: [Adolf Pokorny, familyName, Pokorny]
-
A.
Pokorny
chosen
Pokorny is a surname of Central European origin, notably borne by the Austrian-Celtic linguist Julius Pokorny.
-
B.
Pavka
Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
-
C.
Kasha Kropinski
Kasha Kropinski is a South African-born actress best known for her role as Ruth Cole on the American Western television series "Hell on Wheels."
-
D.
Pekarová
Pekarová is a Czech or Slovak feminine surname derived from the masculine form Pekar.
-
E.
Svika Pick
Svika Pick was a prominent Israeli pop singer, composer, and Eurovision-winning songwriter known for his influential role in Israeli music from the 1970s onward.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee36f908190826994db91b18466 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1105dc6b48190bd6c7d932d9f48d5 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:50 p.m.