Triple
T29150806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cha Cha Real Smooth |
E738901
|
entity |
| Predicate | acquisitionReportedAmountUSD |
P5867
|
FINISHED |
| Object | 15000000 |
—
|
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: 15000000 | Statement: [Cha Cha Real Smooth, acquisitionReportedAmountUSD, 15000000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquisitionReportedAmountUSD Context triple: [Cha Cha Real Smooth, acquisitionReportedAmountUSD, 15000000]
-
A.
acquisitionPrice
chosen
Indicates the monetary amount paid to acquire an asset, company, or item in a transaction.
-
B.
amountInvolvedApprox
Indicates that the relationship specifies an approximate value or quantity involved in an action, event, or transaction.
-
C.
acquisitionAnnouncedBy
Indicates that an acquisition event was publicly announced by the specified announcing entity (such as a company or organization).
-
D.
acquisitionCost
Indicates the monetary amount or value required to obtain or purchase an entity.
-
E.
monetaryValue
Indicates the amount of money associated with an entity, event, or transaction.
- 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 11:42 a.m.