Triple
T4424399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomáš Nosek |
E95175
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nosek |
E95175
|
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: Nosek | Statement: [Tomáš Nosek, familyName, Nosek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nosek Context triple: [Tomáš Nosek, familyName, Nosek]
-
A.
Nosek
chosen
Nosek is a Polish-origin surname borne by various notable individuals across fields such as technology, sports, and academia.
-
B.
Moskovits
Moskovits is a surname, often of Eastern European Jewish origin, that serves as a variant spelling of Moskovitz.
-
C.
Stahelski
Stahelski is the surname of Chad Stahelski, the American stuntman-turned-film director best known for helming the John Wick action film series.
-
D.
Bill Neukom
Bill Neukom is an American lawyer and philanthropist best known as Microsoft’s former chief legal officer and a former managing general partner of the San Francisco Giants.
-
E.
Brad Van Pelt
Brad Van Pelt was a standout linebacker for the New York Giants in the 1970s and early 1980s, known for his Pro Bowl-caliber play and leadership on defense.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613683d4c8190b04f14c7a74b619a |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:30 p.m.