Triple
T17928881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debra Jennifer Stern |
E448273
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Emily Beth Stern |
—
|
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: Emily Beth Stern | Statement: [Debra Jennifer Stern, sibling, Emily Beth Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Beth Stern Context triple: [Debra Jennifer Stern, sibling, Emily Beth Stern]
-
A.
Emily Beth Stern
chosen
Emily Beth Stern is an American actress, singer-songwriter, and the daughter of radio personality Howard Stern.
-
B.
Erica Steinberg
Erica Steinberg is a film producer known for her work on projects such as the 2015 movie "Victor Frankenstein."
-
C.
Jessica Hershberg
Jessica Hershberg is an American stage actress and singer known for her work in musical theatre and as the wife of actor Santino Fontana.
-
D.
Jessica Elbaum
Jessica Elbaum is a film producer known for her work on acclaimed comedies, including the coming-of-age film "Booksmart," and for collaborating frequently with Will Ferrell and Adam McKay’s production ventures.
-
E.
Sarah E. Reisman
Sarah E. Reisman is an American organic chemist known for her work in complex natural product synthesis and as a professor at the California Institute of Technology.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a5511a408190973cf5fa1f286a26 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.