Triple
T3204437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damita Jo |
E67126
|
entity |
| Predicate | usFirstWeekSales |
P44135
|
FINISHED |
| Object | 381000 |
—
|
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: 381000 | Statement: [Damita Jo, usFirstWeekSales, 381000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usFirstWeekSales Context triple: [Damita Jo, usFirstWeekSales, 381000]
-
A.
debutedAtNumberOneOn
Indicates that an item (such as a song, album, or work) entered a ranked chart for the first time directly in the top (number one) position.
-
B.
soldCopies
chosen
Indicates that a certain number of copies of an item were sold by a seller (or in a context) to buyers.
-
C.
weeksAtNumberOneUSBillboardHot100
Indicates the number of weeks a song or recording remained at the #1 position on the US Billboard Hot 100 chart.
-
D.
firstModelYearSales
Indicates the sales figures associated with the first model year of a product or item.
-
E.
salesUS
Indicates a relationship where sales activity, revenue, or transactions are specifically associated with the United States.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa54124c8190a22089ce2eaedab5 |
completed | March 8, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.