Triple
T9698963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'll Make Love to You |
E234724
|
entity |
| Predicate | billboardYearEndHot100Position1994 |
P90755
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [I'll Make Love to You, billboardYearEndHot100Position1994, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: billboardYearEndHot100Position1994 Context triple: [I'll Make Love to You, billboardYearEndHot100Position1994, 3]
-
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.
peakPositionUSHot100
Indicates the highest chart position an item reached on the US Billboard Hot 100 singles chart.
-
C.
chartPosition_US_Billboard_Hot_100
Indicates the position an item achieved on the US Billboard Hot 100 music chart.
-
D.
peakPositionOnBillboardHotCountrySongs
Indicates the highest chart position an item has ever reached on the Billboard Hot Country Songs ranking.
-
E.
decadeEndRankingUSBillboardHot1001990s
Indicates the chart position an entity held on the U.S. Billboard Hot 100 decade-end ranking for the 1990s.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d3d425c8190b652d84186b5ce9f |
completed | April 1, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd081a9c5c819093439be7e802ff85 |
completed | April 1, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:18 p.m.