Triple
T21436140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Blue |
E528813
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Paris Blue |
—
|
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: Paris Blue | Statement: [Paris Blue, hasTrack, Paris Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris Blue Context triple: [Paris Blue, hasTrack, Paris Blue]
-
A.
Paris Blue
chosen
"Paris Blue" is a jazz album by American bassist and composer Kyle Eastwood that showcases his melodic, contemporary approach to modern jazz.
-
B.
Petit Rouge
Petit Rouge is a rare red wine grape variety from Italy’s Valle d’Aosta region, known for producing light, fresh, and aromatic mountain wines.
-
C.
Chartreuse de Paris
Chartreuse de Paris is a former Carthusian monastery in Paris, France, historically significant for its religious art and monastic heritage.
-
D.
Mon Paris
Mon Paris is a modern, fruity-floral women’s fragrance by Yves Saint Laurent Beauté known for its sweet, sensual scent and chic, contemporary Parisian style.
-
E.
De Ville
De Ville is a classic and elegant line of luxury wristwatches produced by the Swiss watchmaker Omega.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b5373994819088fbd82f31c3b0c8 |
completed | April 22, 2026, 11:47 a.m. |
Created at: April 16, 2026, 6:02 p.m.