Triple
T18067716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "He'll Have to Go" |
E432333
|
entity |
| Predicate | chartPosition_US_Country |
P19934
|
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", chartPosition_US_Country, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPosition_US_Country Context triple: ["He'll Have to Go", chartPosition_US_Country, 1]
-
A.
chartPositionUSCountry
chosen
Indicates the position or ranking of something on a music or performance chart specifically within the United States.
-
B.
chartNameUSCountry
Indicates a relationship where a chart’s name is specifically associated with the United States as the country context.
-
C.
chartPositionUSPop
Indicates the position an item holds on a U.S. pop music chart, reflecting its relative ranking in that chart.
-
D.
chartCountry
Indicates that a chart or ranking is associated with, or specific to, a particular country.
-
E.
chartPositionUSTopCountryAlbums
Indicates the album’s ranking on the U.S. Top Country Albums 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_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. |
Created at: April 10, 2026, 10:26 a.m.