Triple
T22679805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelsea |
E560446
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Chelsea Peretti |
—
|
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: Chelsea Peretti | Statement: [Chelsea, hasNotableBearer, Chelsea Peretti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chelsea Peretti Context triple: [Chelsea, hasNotableBearer, Chelsea Peretti]
-
A.
Chelsea Peretti
chosen
Chelsea Peretti is an American comedian, actress, and writer known for her stand-up comedy and television work, including her role as Gina Linetti on the sitcom "Brooklyn Nine-Nine."
-
B.
Alicia Vanden Heuvel
Alicia Vanden Heuvel is an American indie musician best known as a member of the Portland-based pop band The All Girl Summer Fun Band.
-
C.
Kate Perugini
Kate Perugini was a British painter and the daughter of novelist Charles Dickens, known for her portrait work and connections within Victorian artistic circles.
-
D.
Emily Perkins
Emily Perkins is a Canadian actress best known for her roles in the horror film "Ginger Snaps" and the television miniseries adaptation of Stephen King’s "It."
-
E.
Molly Tambor
Molly Tambor is the daughter of Kasia Ostlun and actor Jeffrey Tambor.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785f68b4819082c5570f741f5135 |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:11 p.m.