Triple
T8415430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blade Runner |
E198718
|
entity |
| Predicate | originalBudgetUSD |
P36902
|
FINISHED |
| Object | approximately 28,000,000 |
—
|
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: approximately 28,000,000 | Statement: [Blade Runner, originalBudgetUSD, approximately 28,000,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBudgetUSD Context triple: [Blade Runner, originalBudgetUSD, approximately 28,000,000]
-
A.
productionBudget
chosen
Indicates the amount of money allocated or spent to produce a work, such as a film, show, or similar production.
-
B.
originalPrice
Indicates the monetary amount that something initially cost before any discounts, changes, or adjustments were applied.
-
C.
budgetFrom
Indicates that a budget or funding allocation originates from or is provided by a particular source.
-
D.
constructionCostCurrency
Indicates the currency in which the construction cost of something is expressed.
-
E.
estimatedDevelopmentCostCurrency
Indicates the currency in which the estimated development cost is expressed.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e443a08190983d9a0a61e0f781 |
completed | March 31, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.