Triple
T31052059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extreme |
E791293
|
entity |
| Predicate | More Than Words_chartPosition_US_Billboard_Hot_100 |
P61181
|
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: [Extreme, More Than Words_chartPosition_US_Billboard_Hot_100, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: More Than Words_chartPosition_US_Billboard_Hot_100 Context triple: [Extreme, More Than Words_chartPosition_US_Billboard_Hot_100, 1]
-
A.
chartPosition_US_Billboard_Hot_100
chosen
Indicates the position an item achieved on the US Billboard Hot 100 music chart.
-
B.
chartPeakCountry_US_Billboard_Hot_100
Indicates that the entity reached its peak chart position on the US Billboard Hot 100.
-
C.
Good VibrationsPeakChartPositionUSBillboardHot100
Indicates the chart position that the song "Good Vibrations" reached on the US Billboard Hot 100.
-
D.
countryOfChartUSBillboardHot100
Indicates that the associated chart is the U.S. Billboard Hot 100 chart for a given musical work or performance.
-
E.
chartPositionUSHot100Airplay
Indicates the position an item reached on the U.S. Billboard Hot 100 Airplay 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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6954088b881909cc816123fc2ae65 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9 p.m.