Triple
T17876058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zev |
E446955
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Zev Siegl |
—
|
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: Zev Siegl | Statement: [Zev, hasNotableBearer, Zev Siegl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zev Siegl Context triple: [Zev, hasNotableBearer, Zev Siegl]
-
A.
Zev Siegl
chosen
Zev Siegl is an American entrepreneur and co-founder of the Starbucks coffee company.
-
B.
Nick Siegel
Nick Siegel is a musician best known as a member of the indie/emo rock band The Casket Lottery.
-
C.
Zach Baylin
Zach Baylin is an American screenwriter best known for his work on acclaimed sports dramas such as King Richard and Creed III.
-
D.
Adam Siegel
Adam Siegel is a film producer known for his work on action and genre movies, including the 2008 thriller "Wanted."
-
E.
Adam Siegel
Adam Siegel is a film producer known for working on major Hollywood action and crime movies, including the 2013 film "2 Guns."
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa614b48190bdc9e905e9e6d5e0 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.