Triple
T3084432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Silverman |
E64334
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Jodyne Silverman |
E359633
|
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: Jodyne Silverman | Statement: [Sarah Silverman, hasSibling, Jodyne Silverman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jodyne Silverman Context triple: [Sarah Silverman, hasSibling, Jodyne Silverman]
-
A.
Laura Silverman
chosen
Laura Silverman is an American actress and voice actress known for her work on shows like "Dr. Katz, Professional Therapist" and "The Sarah Silverman Program."
-
B.
Caryn Elaine Johnson
Caryn Elaine Johnson is the birth name of Whoopi Goldberg, the acclaimed American actress, comedian, and television host.
-
C.
Joanne Schieble
Joanne Schieble is an American woman best known as the biological mother of Apple co-founder Steve Jobs.
-
D.
Edie Martin
Edie Martin was a British character actress known for her frequent appearances as elderly women in mid-20th-century British films and comedies.
-
E.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e98a1c8190b1dd4a0a47f7d6c6 |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367e2fbb8819084e01920d2a37b80 |
completed | March 13, 2026, 1:26 a.m. |
Created at: March 8, 2026, 3:03 p.m.