Triple
T22673829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan Slutsky |
E560291
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Slutsky |
—
|
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: Slutsky | Statement: [Allan Slutsky, familyName, Slutsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slutsky Context triple: [Allan Slutsky, familyName, Slutsky]
-
A.
Slutsky
chosen
Slutsky is a Slavic surname borne by various notable individuals in fields such as politics, economics, and sports.
-
B.
Slutsky equation
The Slutsky equation is a fundamental result in microeconomics that decomposes the effect of a price change on demand into substitution and income effects.
-
C.
Buchinsky
Buchinsky is the original family surname of American actor Charles Bronson, known for his tough-guy roles in action and vigilante films.
-
D.
Leontyevich
Leontyevich is a Russian patronymic name derived from the male given name Leonty, traditionally indicating "son of Leonty."
-
E.
Rybczyński
Rybczyński is a Polish surname most notably associated with Oscar-winning experimental filmmaker and visual effects pioneer Zbigniew Rybczyński.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178229e908190b696d14a93c11344 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.