Triple
T18236928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moskovitch |
E436705
|
entity |
| Predicate | isVariantOf |
P455
|
FINISHED |
| Object | Moskowitz |
—
|
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: Moskowitz | Statement: [Moskovitch, isVariantOf, Moskowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moskowitz Context triple: [Moskovitch, isVariantOf, Moskowitz]
-
A.
Moskowitz
chosen
Moskowitz is a surname of Jewish origin borne by various notable individuals across fields such as politics, academia, and the arts.
-
B.
Molodowsky
Molodowsky is the surname of Kadya Molodowsky, a prominent 20th-century Yiddish poet and writer known for her contributions to Jewish literature.
-
C.
Mitch Markowitz
Mitch Markowitz is an American screenwriter best known for writing the acclaimed 1987 Robin Williams film "Good Morning, Vietnam."
-
D.
Michael Markowitz
Michael Markowitz is an American comedy writer best known for co-writing the hit film "Horrible Bosses."
-
E.
Barry Markowitz
Barry Markowitz is an American cinematographer best known for his work on the film "Sling Blade" and other character-driven dramas.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7def3c48190a9a96c8b4911f0f3 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.