Triple
T10193454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Warsofsky |
E238096
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | David Warsofsky |
E908220
|
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: David Warsofsky | Statement: [Ryan Warsofsky, relative, David Warsofsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Warsofsky Context triple: [Ryan Warsofsky, relative, David Warsofsky]
-
A.
David Warsofsky
chosen
David Warsofsky is an American professional ice hockey defenseman who has played in the NHL and various international leagues.
-
B.
Louis Bakanowsky
Louis Bakanowsky was an American architect best known as a founding partner of the influential design firm Cambridge Seven Associates.
-
C.
Leo Salkin
Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
-
D.
Leon Feldhendler
Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
-
E.
Michael Aronov
Michael Aronov is an American actor known for his work in film, television, and theater, including a role in the historical drama "Operation Finale."
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc675008190b8248325f5a208bf |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e482d55a04819090d95f7a4abb6e29 |
completed | April 19, 2026, 7:23 a.m. |
Created at: March 30, 2026, 9:13 p.m.