Triple
T28337302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Byrd |
E717710
|
entity |
| Predicate | spendsOn |
P71941
|
FINISHED |
| Object | luxury hotel stay |
—
|
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: luxury hotel stay | Statement: [Georgia Byrd, spendsOn, luxury hotel stay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spendsOn Context triple: [Georgia Byrd, spendsOn, luxury hotel stay]
-
A.
expenditures
Indicates that an entity spends or allocates money or resources, typically specifying the amount, purpose, or category of that spending.
-
B.
expenditureFor
chosen
Indicates a relationship where a specific expenditure is made or allocated for a particular purpose, item, project, or entity.
-
C.
spendSize
Indicates the amount or magnitude of spending associated with an entity or transaction.
-
D.
spendingRequires
Indicates that performing a spending action is contingent upon satisfying a specified requirement or condition.
-
E.
typeOfSpendingAffected
Indicates that a particular kind or category of spending is influenced, changed, or impacted by another factor or event.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64bd5c8c08190bd5dea179cf08b35 |
completed | May 2, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:37 a.m.