Triple
T22190259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Seconds |
E548402
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Alex Reznik |
—
|
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: Alex Reznik | Statement: [Seven Seconds, producer, Alex Reznik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Reznik Context triple: [Seven Seconds, producer, Alex Reznik]
-
A.
Alex Reznik
chosen
Alex Reznik is a television producer best known for serving as an executive producer on the crime drama series "Seven Seconds."
-
B.
Max Zaritsky
Max Zaritsky was an American labor leader and union organizer who played a key role in the early development of industrial unionism in the United States.
-
C.
Alex Gorsky
Alex Gorsky is an American business executive best known for serving as chairman and CEO of Johnson & Johnson.
-
D.
Jonathan Galkin
Jonathan Galkin is an American music industry executive and co-founder of the influential independent record label DFA Records.
-
E.
Adam Tsekhman
Adam Tsekhman is a Canadian actor best known for his role as Gary Green on the superhero television series "DC's Legends of Tomorrow."
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aac07d88190848c940863c0a0c7 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.