Triple
T814734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady (song) |
E17626
|
entity |
| Predicate | chartPositionUSBillboardAdultContemporary |
P19928
|
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: [Lady (song), chartPositionUSBillboardAdultContemporary, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionUSBillboardAdultContemporary Context triple: [Lady (song), chartPositionUSBillboardAdultContemporary, 1]
-
A.
chartPositionUSBillboard200
Indicates the position an album or release achieved on the US Billboard 200 chart.
-
B.
chartPositionUSRockAlbums
Indicates the position an album achieved on the U.S. rock albums music chart.
-
C.
chartPositionUSHotR&BHipHopSongs
Indicates the position an item holds on the U.S. Billboard Hot R&B/Hip-Hop Songs chart.
-
D.
chartPositionUSFolkAlbums
Indicates the position an album achieved on the US Folk Albums music chart.
-
E.
chartPosition
Indicates the ranking or placement of an item within an ordered chart or list at a specific point in time.
- F. None of above. chosen
Provenance (4 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab5035608190bff5f3843b75e662 |
completed | March 1, 2026, 9:10 p.m. |
| PD | Predicate disambiguation | batch_69a4aa756920819080ae82948974c876 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4781c88190ae36906251347cdc |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.