Triple
T20844900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Sciarra |
E513194
|
entity |
| Predicate | businessPartner |
P282
|
FINISHED |
| Object | Ben Silbermann |
—
|
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: Ben Silbermann | Statement: [Paul Sciarra, businessPartner, Ben Silbermann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Silbermann Context triple: [Paul Sciarra, businessPartner, Ben Silbermann]
-
A.
Ben Silbermann
chosen
Ben Silbermann is an American entrepreneur best known as the co-founder and former CEO of the visual discovery platform Pinterest.
-
B.
Ben Schulberg
Ben Schulberg was an American film producer and studio executive active during the early Hollywood era.
-
C.
Alex Shulman
Alex Shulman is a person notable enough to be recognized as a bearer of the surname Shulman, though specific widely known biographical details are not clearly established.
-
D.
Nick Siegel
Nick Siegel is a musician best known as a member of the indie/emo rock band The Casket Lottery.
-
E.
Jason Silverstein
Jason Silverstein is a writer and scholar known for his work at the intersection of race, medicine, and social justice, including contributions to publications like The New York Times and The Atlantic.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34deef88190992b959b83bc59b1 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.