Triple
T584023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Momentum Pictures |
E15118
|
entity |
| Predicate | hasBusinessActivity |
P1099
|
FINISHED |
| Object | acquisition of film distribution rights |
—
|
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: acquisition of film distribution rights | Statement: [Momentum Pictures, hasBusinessActivity, acquisition of film distribution rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusinessActivity Context triple: [Momentum Pictures, hasBusinessActivity, acquisition of film distribution rights]
-
A.
hasEconomicActivity
chosen
Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
-
B.
hasActivityStatus
Indicates the current state or condition of an activity, such as whether it is planned, ongoing, completed, or cancelled.
-
C.
hasBusinessRoute
Indicates that there exists an established commercial or service route connecting two business-related entities.
-
D.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
-
E.
hasEconomicRole
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b8745c88190af9672e5fe8396c3 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.