Triple
T34768719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'll Be Doggone |
E1002292
|
entity |
| Predicate | firstNumberOneForArtistOnRBChart |
P205548
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [I'll Be Doggone, firstNumberOneForArtistOnRBChart, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNumberOneForArtistOnRBChart Context triple: [I'll Be Doggone, firstNumberOneForArtistOnRBChart, true]
-
A.
firstNumberOneSingleForArtist
Indicates that the artist has achieved their first number-one single.
-
B.
firstNumberOneArtist
Indicates that the subject artist has achieved at least one number-one position (e.g., on a chart or ranking) as their first such top placement.
-
C.
firstNumberOneSingleForArtistInUK
Indicates that the artist has exactly one single that reached number one on the charts in the UK.
-
D.
firstUSNumberOneAlbumForArtist
Indicates that the album is the first one by the artist to reach number one on the US music charts.
-
E.
numberOfConsecutiveBillboard200NumberOneDebutsForArtist
Indicates the count of times an artist has achieved consecutive album debuts at number one on the Billboard 200 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 3:59 p.m.