Triple
T13722603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurse Jackie (TV series) score |
E329073
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Jackie Peyton |
E338831
|
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: Jackie Peyton | Statement: [Nurse Jackie (TV series) score, associatedWithCharacter, Jackie Peyton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackie Peyton Context triple: [Nurse Jackie (TV series) score, associatedWithCharacter, Jackie Peyton]
-
A.
Jackie Peyton
chosen
Jackie Peyton is the troubled, painkiller-addicted emergency room nurse at the center of the television series "Nurse Jackie."
-
B.
Jackie Morrow
Jackie Morrow is an actor known for appearing in the Hardy family film "Out West with the Hardys."
-
C.
Jackie Price
Jackie Price is a fictional character from the psychological thriller film "The Jacket."
-
D.
Jackie Lacey
Jackie Lacey is an American lawyer who served as the first female and first Black district attorney of Los Angeles County.
-
E.
Jackie
Jackie is a biographical drama film in which Natalie Portman portrays Jacqueline Kennedy in the aftermath of President John F. Kennedy’s assassination.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f3b46481909ceedfa78e9ca92b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5e1ecc8190a9fec550a99702c0 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.