Triple
T2914707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm Every Woman |
E63772
|
entity |
| Predicate | chartPositionUSHotSoulSingles |
P42894
|
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: [I'm Every Woman, chartPositionUSHotSoulSingles, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionUSHotSoulSingles Context triple: [I'm Every Woman, chartPositionUSHotSoulSingles, 1]
-
A.
chartPositionUSHotR&BHipHopSongs
Indicates the position an item holds on the U.S. Billboard Hot R&B/Hip-Hop Songs chart.
-
B.
chartPositionUSBillboardHotCountrySingles
Indicates the position a song or record achieved on the US Billboard Hot Country Singles chart.
-
C.
chartPositionUSBillboardHot100Peak
Indicates the highest ranking an item has ever reached on the US Billboard Hot 100 chart.
-
D.
chartPositionUSRockAlbums
Indicates the position an album achieved on the U.S. rock albums music chart.
-
E.
peakPositionUSHot100
Indicates the highest chart position an item reached on the US Billboard Hot 100 singles chart.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0edb1ac81908b22ef60abb4a4df |
completed | March 7, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:11 p.m.