Triple
T20162060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fortune Teller |
E491731
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Musette |
—
|
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: Musette | Statement: [The Fortune Teller, featuresCharacter, Musette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Musette Context triple: [The Fortune Teller, featuresCharacter, Musette]
-
A.
Musette
chosen
Musette is a lively and flirtatious character from Giacomo Puccini’s opera "La Bohème," often depicted as a bohemian singer and the on-and-off lover of the painter Marcello.
-
B.
La Mélodie
La Mélodie is a song by French singer Vanessa Paradis from her 2007 studio album "Divinidylle."
-
C.
La Musique
La Musique is a 1910 oil painting by Henri Matisse that depicts a group of figures engaged with music in a bold, simplified, and vividly colored Fauvist style.
-
D.
La Musique
La Musique is a renowned 19th-century sculptural work by French artist François Jouffroy, celebrated for its elegant allegorical representation of music.
-
E.
Le Concert champêtre
Le Concert champêtre is a Rococo-era painting by Jean-Baptiste Pater depicting an elegant outdoor musical gathering in a pastoral setting.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e505888190a05e26a3c5a0ede1 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.