Triple
T13599638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sexy and I Know It |
E324909
|
entity |
| Predicate | chartPositionARIALatinTop100 |
P110252
|
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: [Sexy and I Know It, chartPositionARIALatinTop100, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionARIALatinTop100 Context triple: [Sexy and I Know It, chartPositionARIALatinTop100, 1]
-
A.
chartPositionARIALatinPopAirplay
Indicates the position something holds on the ARIA Latin Pop Airplay music chart.
-
B.
chartPositionARIASinglesChart
Indicates the position an item holds on the ARIA Singles music chart.
-
C.
chartPositionBillboardHot100Debut
Indicates the chart position at which something first debuted on the Billboard Hot 100 chart.
-
D.
chartPosition_US_Billboard_Hot_100
Indicates the position an item achieved on the US Billboard Hot 100 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.