Triple
T12445688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kubelsky |
E297390
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Benjamin Kubelsky |
E340206
|
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: Benjamin Kubelsky | Statement: [Kubelsky, notableBearer, Benjamin Kubelsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin Kubelsky Context triple: [Kubelsky, notableBearer, Benjamin Kubelsky]
-
A.
Benjamin Kubelsky
chosen
Benjamin Kubelsky, better known as Jack Benny, was a hugely influential American comedian, vaudevillian, radio and television star renowned for his impeccable timing, stingy persona, and enduring impact on 20th-century entertainment.
-
B.
Benjamin Bauer
Benjamin Bauer is an entrepreneur best known as a co-founder of the online food delivery platform Foodpanda.
-
C.
Uriel Frisch
Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
-
D.
Benjy Eisen
Benjy Eisen is a music journalist and author best known for co-writing memoirs with Grateful Dead drummer Bill Kreutzmann.
-
E.
Benjamin Frankel
Benjamin Frankel was a 20th-century British composer best known for his film scores and contributions to modern classical music.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d90f18c819083a36ff4b9be4a20 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0d6947c819080d33199d331724c |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 8, 2026, 9:55 p.m.