Triple
T3858660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Click |
E90081
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Steve Koren |
E342194
|
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: Steve Koren | Statement: [Click, storyBy, Steve Koren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Koren Context triple: [Click, storyBy, Steve Koren]
-
A.
Steve Koren
chosen
Steve Koren is an American comedy writer and screenwriter known for his work on films like "A Night at the Roxbury" and for writing on "Saturday Night Live."
-
B.
Jeff Groth
Jeff Groth is a film editor best known for his work on the critically acclaimed 2019 psychological thriller "Joker."
-
C.
Dave Keuning
Dave Keuning is an American guitarist and songwriter best known as the lead guitarist and a founding member of the rock band The Killers.
-
D.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
E.
Mike Schafer
Mike Schafer is a longtime head coach of the Cornell Big Red men's ice hockey team, known for leading the program to sustained success and multiple NCAA tournament appearances.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1e68f88190941c39221486f6ae |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c7b37048190a22907ffc85140c3 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:19 p.m.