Triple
T36172312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iTunes Movie Rentals |
E1046176
|
entity |
| Predicate | qualityOptions |
P185048
|
FINISHED |
| Object | SD |
—
|
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: SD | Statement: [iTunes Movie Rentals, qualityOptions, SD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qualityOptions Context triple: [iTunes Movie Rentals, qualityOptions, SD]
-
A.
qualityDependsOn
Indicates that the quality or performance of one entity is determined or influenced by the characteristics or state of another entity.
-
B.
quality
Indicates that an entity possesses a particular attribute, characteristic, or degree of excellence that defines how good, suitable, or effective it is in a given context.
-
C.
supportsQuality
Indicates that one entity contributes to maintaining, enhancing, or ensuring the quality or standard of another entity or process.
-
D.
qualityScheme
Indicates that an entity is associated with a particular quality assurance or quality classification scheme that defines how its quality is evaluated or certified.
-
E.
idealQuality
Indicates that one entity possesses a quality or attribute that is considered ideal, optimal, or most desirable in relation to another entity or context.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:08 p.m.