Triple
T3811004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village Roadshow Pictures |
E93132
|
entity |
| Predicate | coFinances |
P154
|
FINISHED |
| Object | Hollywood 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: Hollywood films | Statement: [Village Roadshow Pictures, coFinances, Hollywood films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coFinances Context triple: [Village Roadshow Pictures, coFinances, Hollywood films]
-
A.
financeMinister
Indicates that one entity serves as the finance minister (or equivalent chief financial/government budget official) of another entity, typically a country or jurisdiction.
-
B.
funds
chosen
Indicates that one entity provides financial resources or monetary support to another entity or activity.
-
C.
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.
-
D.
economicGoal
Indicates that an entity has a targeted economic outcome or objective it aims to achieve.
-
E.
transactionNature
Indicates the type or character of a transaction, specifying what kind of exchange or operation is taking place between the involved parties.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7482d708190a3ec74745b102a4c |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:16 p.m.