Triple
T27600108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whistle While Your Wife Works |
E700015
|
entity |
| Predicate | hasCharacterDebut |
P116161
|
FINISHED |
| Object | Jillian Russell |
—
|
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: Jillian Russell | Statement: [Whistle While Your Wife Works, hasCharacterDebut, Jillian Russell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterDebut Context triple: [Whistle While Your Wife Works, hasCharacterDebut, Jillian Russell]
-
A.
featuresCharacterDebut
chosen
Indicates that the subject work includes the first-ever appearance of a particular character.
-
B.
screenDebutInMajorRoleFor
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
-
C.
characterFirstAppearanceInThisPortrayal
Indicates that this is the first time the character appears in the specific portrayal or adaptation being referenced.
-
D.
debutedWith
Indicates that an entity made its first public appearance, release, or introduction in association with another specified entity.
-
E.
debutAs
Indicates that an entity makes its first public appearance or introduction in a particular role, medium, or context.
- F. None of above.
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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 27, 2026, 2:08 p.m.