Triple
T10261065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Give Good Love |
E240594
|
entity |
| Predicate | chartPositionBillboardYearEndHot1001985 |
P19929
|
FINISHED |
| Object | 23 |
—
|
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: 23 | Statement: [You Give Good Love, chartPositionBillboardYearEndHot1001985, 23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionBillboardYearEndHot1001985 Context triple: [You Give Good Love, chartPositionBillboardYearEndHot1001985, 23]
-
A.
enteredBillboardHot100Top10Year
Indicates that an entity (typically a song or artist) reached the top 10 positions of the Billboard Hot 100 chart in a specified year.
-
B.
chartPositionBillboardHot100Debut
Indicates the chart position at which something first debuted on the Billboard Hot 100 chart.
-
C.
yearEndChartUSBillboardHot100
chosen
Indicates that the subject achieved a position on the U.S. Billboard Hot 100 year-end chart in the specified year.
-
D.
chartPositionBillboardHot100NumberOnesFrom21
Indicates the chart position of a song among the Billboard Hot 100 number-one hits from the album "21".
-
E.
chartPositionUSBillboardHot100Peak
Indicates the highest ranking an item has ever reached on the US Billboard Hot 100 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:32 a.m.