Triple
T15910001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girlie Show |
E385819
|
entity |
| Predicate | workplaceBackdropFor |
P26195
|
FINISHED |
| Object | Liz Lemon and her colleagues |
—
|
LITERAL 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: Liz Lemon and her colleagues | Statement: [The Girlie Show, workplaceBackdropFor, Liz Lemon and her colleagues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workplaceBackdropFor Context triple: [The Girlie Show, workplaceBackdropFor, Liz Lemon and her colleagues]
-
A.
workEnvironmentDepiction
Indicates a depiction or representation of the conditions, atmosphere, or setting in which work or professional activities take place.
-
B.
wallpaperDesigner
Indicates that one entity is the designer or creator of the wallpaper associated with another entity.
-
C.
formsBackdropOf
chosen
Indicates that one entity serves as the background or setting against which another entity is viewed, occurs, or is presented.
-
D.
typicalBackground
Indicates that an entity has a usual or commonly expected background, context, or setting associated with it.
-
E.
socialBackground
Indicates a relationship where one entity’s social origin, class, or upbringing context is associated with or characterizes another entity.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.