Triple
T15012901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yari Film Group |
E377882
|
entity |
| Predicate | focusesOnBudgetRange |
P59327
|
FINISHED |
| Object | mid-budget feature films |
—
|
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: mid-budget feature films | Statement: [Yari Film Group, focusesOnBudgetRange, mid-budget feature films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnBudgetRange Context triple: [Yari Film Group, focusesOnBudgetRange, mid-budget feature films]
-
A.
budgetFrom
Indicates that a budget or funding allocation originates from or is provided by a particular source.
-
B.
budgetRight
Indicates that an entity has the authority, responsibility, or entitlement to allocate, manage, or decide on the use of a specified budget or financial resources.
-
C.
budgetScope
chosen
Indicates the extent or range of financial resources allocated or considered within a particular budget.
-
D.
hasBudgetFor
Indicates that an entity possesses sufficient allocated financial resources to support, fund, or carry out another specified entity, activity, or purpose.
-
E.
budgetINR
Indicates that a specified budget amount is expressed in Indian Rupees (INR).
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7613cec8190ac25e3f68c5d0edf |
completed | April 15, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:55 a.m.