Triple
T9390937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black or White |
E226022
|
entity |
| Predicate | chartPositionFranceSNEP |
P25063
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Black or White, chartPositionFranceSNEP, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionFranceSNEP Context triple: [Black or White, chartPositionFranceSNEP, 1]
-
A.
chartPositionFrenchSinglesChart
chosen
Indicates the position an item holds on the French singles music chart.
-
B.
EuropeChartPerformance
Indicates how well something ranks or performs on music or sales charts specifically within European markets.
-
C.
chartPositionARIALatinPopAirplay
Indicates the position something holds on the ARIA Latin Pop Airplay music chart.
-
D.
chartPositionEuropeanHot100
Indicates the position an item reached on the European Hot 100 music chart.
-
E.
economicRankInFrance
Indicates the relative economic standing or ranking of an entity within the context of France’s economy.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510d7a9c8190a74ccdb5478dedc9 |
completed | April 1, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:45 p.m.