Triple
T20662355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just After Sunset |
E507787
|
entity |
| Predicate | hasAudiobookNarrator |
P2181
|
FINISHED |
| Object | Jill Eikenberry |
—
|
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: Jill Eikenberry | Statement: [Just After Sunset, hasAudiobookNarrator, Jill Eikenberry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jill Eikenberry Context triple: [Just After Sunset, hasAudiobookNarrator, Jill Eikenberry]
-
A.
Jill Eikenberry
chosen
Jill Eikenberry is an American actress best known for her Emmy-nominated role as attorney Ann Kelsey on the television series "L.A. Law."
-
B.
Loretta Swit
Loretta Swit is an American actress best known for her Emmy-winning role as Major Margaret "Hot Lips" Houlihan on the television series M*A*S*H.
-
C.
Joan Allen
Joan Allen is an acclaimed American actress known for her versatile performances in film, television, and theater, including prominent roles in dramas and political thrillers.
-
D.
Kelly Rutherford
Kelly Rutherford is an American actress best known for her roles on television series such as "Melrose Place" and "Gossip Girl."
-
E.
Deborah Rush
Deborah Rush is an American actress known for her character roles in film, television, and theater, including appearances in comedies and independent productions.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f2ee4081908df9ba897c9dfc98 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.