Triple
T34773604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Got the Goldmine (I Got the Shaft) |
E1002438
|
entity |
| Predicate | chartPeakCountryUS |
P23844
|
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: [She Got the Goldmine (I Got the Shaft), chartPeakCountryUS, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPeakCountryUS Context triple: [She Got the Goldmine (I Got the Shaft), chartPeakCountryUS, 1]
-
A.
chartPeakCountry
chosen
Indicates the country in which a work (such as a song or album) reached its highest position on a music chart.
-
B.
chartPeakDateUSHotCountrySongs
Indicates the date on which a song reached its highest chart position on the US Hot Country Songs chart.
-
C.
chartPeakCountry_US_Billboard_Hot_100
Indicates that the entity reached its peak chart position on the US Billboard Hot 100.
-
D.
BillboardHot100PeakRegion
Indicates the highest chart position an item reached within a specified regional edition of the Billboard Hot 100.
-
E.
chartPositionBillboardCountrySongsPeak
Indicates the highest chart position an item reached on the Billboard Country Songs 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 3:59 p.m.