Triple
T30079818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Femme Fatale Tour |
E764420
|
entity |
| Predicate | hasStageTheme |
P188939
|
FINISHED |
| Object | femme fatale / spy narrative |
—
|
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: femme fatale / spy narrative | Statement: [Femme Fatale Tour, hasStageTheme, femme fatale / spy narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStageTheme Context triple: [Femme Fatale Tour, hasStageTheme, femme fatale / spy narrative]
-
A.
hasFestivalTheme
Indicates that something is associated with, characterized by, or designed around a particular festival-related theme.
-
B.
hasThemeInShow
chosen
Indicates that a particular theme is featured or present within a specific show.
-
C.
hasStageAppearance
Indicates that an entity makes or has made a performance or appearance on a stage, typically before an audience.
-
D.
hasStageAppearanceWith
Indicates that two or more entities appear together in the same staged performance or event.
-
E.
hasDanceTheme
Indicates that an entity features, is characterized by, or centers around a particular dance-related theme.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: April 29, 2026, 7:02 p.m.