Triple
T523259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ye |
E10862
|
entity |
| Predicate | usTopR&BHipHopAlbumsPeakPosition |
P13746
|
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: [Ye, usTopR&BHipHopAlbumsPeakPosition, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usTopR&BHipHopAlbumsPeakPosition Context triple: [Ye, usTopR&BHipHopAlbumsPeakPosition, 1]
-
A.
chartPositionUSHotR&BHipHopSongs
chosen
Indicates the position an item holds on the U.S. Billboard Hot R&B/Hip-Hop Songs chart.
-
B.
WhitneyHoustonVersionBillboardHot100Peak
Indicates the peak position that Whitney Houston’s version of a song reached on the Billboard Hot 100 chart.
-
C.
peakPopularity
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
-
D.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
E.
chartPositionNorwegianSinglesChart
Indicates the position that something achieved on the Norwegian Singles music chart.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b4f01881908b408357ff113308 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.