Triple
T9459362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinerama Releasing Corporation |
E228101
|
entity |
| Predicate | scopeOfCatalog |
P16090
|
FINISHED |
| Object | wide range of genres |
—
|
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: wide range of genres | Statement: [Cinerama Releasing Corporation, scopeOfCatalog, wide range of genres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scopeOfCatalog Context triple: [Cinerama Releasing Corporation, scopeOfCatalog, wide range of genres]
-
A.
scopeOfProducts
chosen
Indicates the range or extent of products that fall under a particular category, responsibility, or context.
-
B.
scopeOfSales
Indicates the range, extent, or boundaries within which sales activities, rights, or transactions are valid or permitted.
-
C.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
-
D.
acquisitionScope
Indicates the extent, boundaries, or coverage of what is obtained or brought under control through an acquisition.
-
E.
belongsToCatalogOf
Indicates that one item is included within, or is a member of, a particular catalog or collection.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fc916348190aeb3874a89071677 |
completed | April 1, 2026, 8:27 p.m. |
| PD | Predicate disambiguation | batch_69cca55caaa8819089c5138e014892d3 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:52 p.m.