Triple
T13005567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena Younger |
E322276
|
entity |
| Predicate | usesMoneyFor |
P71941
|
FINISHED |
| Object | down payment on a house in a white neighborhood |
—
|
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: down payment on a house in a white neighborhood | Statement: [Lena Younger, usesMoneyFor, down payment on a house in a white neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMoneyFor Context triple: [Lena Younger, usesMoneyFor, down payment on a house in a white neighborhood]
-
A.
incomeUsedFor
Indicates that some or all of an income amount is allocated or spent for a specified purpose, activity, or recipient.
-
B.
expenditureFor
chosen
Indicates a relationship where a specific expenditure is made or allocated for a particular purpose, item, project, or entity.
-
C.
usesCurrency
Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
-
D.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
-
E.
hasCost
Indicates that one entity requires a specified amount of resources (such as money, time, or effort) to be obtained, used, or maintained by 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9b27ec8190815c40a05b9ba7d0 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:48 p.m.