Triple
T18067720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "He'll Have to Go" |
E432333
|
entity |
| Predicate | yearEndRanking_Billboard_Hot_Country_1960 |
P129691
|
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: ["He'll Have to Go", yearEndRanking_Billboard_Hot_Country_1960, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearEndRanking_Billboard_Hot_Country_1960 Context triple: ["He'll Have to Go", yearEndRanking_Billboard_Hot_Country_1960, 1]
-
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.
topHot100SongWinner
Indicates that the subject is the song that achieved the number one position on the Hot 100 chart for a given time period or award.
-
C.
chartPeakCountry_US_Billboard_Hot_100
Indicates that the entity reached its peak chart position on the US Billboard Hot 100.
-
D.
peakPositionOnBillboardHotCountrySongs
Indicates the highest chart position an item has ever reached on the Billboard Hot Country Songs ranking.
-
E.
yearEndChartUSBillboardHot100
Indicates that the subject achieved a position on the U.S. Billboard Hot 100 year-end chart in the specified year.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cceb020081909329492591e7b1f2 |
completed | April 19, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:26 a.m.