Triple
T18622502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruby Jerins |
E455190
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ruby Jerins |
—
|
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: Ruby Jerins | Statement: [Ruby Jerins, name, Ruby Jerins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruby Jerins Context triple: [Ruby Jerins, name, Ruby Jerins]
-
A.
Ruby Jerins
chosen
Ruby Jerins is an American actress best known for her role as Grace Peyton on the television series "Nurse Jackie."
-
B.
Danielle Judovits
Danielle Judovits is an American voice actress known for her work in animated television series and video games.
-
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.
Ruby Meyers
Ruby Meyers is the daughter of American rock singer Patty Smyth.
-
E.
Jessica Tuchinsky
Jessica Tuchinsky is a television and film producer known for her executive production work on the miniseries adaptation of John Green's novel "Looking for Alaska."
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f020fa08190bd78d72182496b19 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.