Triple
T10810992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manó Kaminer |
E255097
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Kaminer |
E255097
|
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: Kaminer | Statement: [Manó Kaminer, hasFamilyName, Kaminer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaminer Context triple: [Manó Kaminer, hasFamilyName, Kaminer]
-
A.
Korman
Korman is a surname most famously associated with American comedic actor Harvey Korman, known for his work on The Carol Burnett Show and in Mel Brooks films.
-
B.
Clemm
Clemm is the surname of Virginia Eliza Clemm Poe, the wife and cousin of American writer Edgar Allan Poe.
-
C.
Erdman
Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
-
D.
Manó Kaminer
chosen
Manó Kaminer was the original Hungarian name of Michael Curtiz, the renowned film director best known for directing the classic movie "Casablanca."
-
E.
Luske
Luske is a surname most notably associated with Hamilton Luske, an American animator and film director for Walt Disney Studios.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b7bfac8190b6ae34144376d6ad |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8526237881908dc3b25b16de7871 |
completed | April 14, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:18 p.m.