Triple
T24931109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Grant as Will Freeman |
E618986
|
entity |
| Predicate | incomeSourceInPlot |
P24934
|
FINISHED |
| Object | royalties from a Christmas song written by his father |
—
|
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: royalties from a Christmas song written by his father | Statement: [Hugh Grant as Will Freeman, incomeSourceInPlot, royalties from a Christmas song written by his father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incomeSourceInPlot Context triple: [Hugh Grant as Will Freeman, incomeSourceInPlot, royalties from a Christmas song written by his father]
-
A.
incomeType
chosen
Indicates the category or source classification of an entity’s income within a given context.
-
B.
income
Indicates the amount of money an entity receives, typically over a specified period, from work, investments, or other sources.
-
C.
incomeMeasure
Indicates a relationship where one entity serves as a measure or metric of another entity’s income.
-
D.
usesForIncome
Indicates that one entity derives income or financial gain from using another entity.
-
E.
incomeCounted
Indicates that a specified amount of income is included in a particular calculation, assessment, or determination (such as eligibility, benefits, or totals).
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f423b49074819095c7df8610781661 |
completed | May 1, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:30 a.m.