Triple
T20513554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 38 Studios |
E503623
|
entity |
| Predicate | loanAmountUSD |
P24625
|
FINISHED |
| Object | 75000000 |
—
|
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: 75000000 | Statement: [38 Studios, loanAmountUSD, 75000000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loanAmountUSD Context triple: [38 Studios, loanAmountUSD, 75000000]
-
A.
maximumLoanAmountUSD
Indicates the highest amount of money, expressed in U.S. dollars, that can be loaned under a given agreement or condition.
-
B.
amountInvolvedApprox
Indicates that the relationship specifies an approximate value or quantity involved in an action, event, or transaction.
-
C.
paymentAmount
chosen
Indicates the specific monetary value involved in a payment transaction between parties.
-
D.
loanType
Indicates the specific category or kind of loan associated with an entity or transaction.
-
E.
loanSource
Indicates that one entity is the origin or provider of a loan extended to another entity.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4066908190a94724697fb8cdcb |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.