Triple
T2541815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon MGM Studios |
E57800
|
entity |
| Predicate | hasRightsOver |
P39434
|
FINISHED |
| Object | MGM film library |
—
|
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: MGM film library | Statement: [Amazon MGM Studios, hasRightsOver, MGM film library]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRightsOver Context triple: [Amazon MGM Studios, hasRightsOver, MGM film library]
-
A.
hasAccessTo
Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
-
B.
hasLimitedAuthorityOver
Indicates that one entity holds a constrained or partial power to direct, control, or make decisions about another entity, but not full or unrestricted authority.
-
C.
canOverrule
Indicates that one entity has the authority or power to reverse, nullify, or supersede the decision or judgment made by another entity.
-
D.
hasLegalAuthorityFrom
Indicates that one entity possesses formal legal power, rights, or authorization that originates from or is granted by another entity.
-
E.
hasAuthorityControl
Indicates that one entity possesses formal power, control, or decision-making authority over another entity or activity.
- F. None of above. chosen
Provenance (4 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2bd92f88190bf100c799f62210c |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0c63964819092d5f578195ae8dd |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1c7b6e48190be9a0c31069df797 |
completed | March 7, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:47 p.m.