Triple
T5267761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First National Pictures |
E119179
|
entity |
| Predicate | businessModelOrigin |
P19812
|
FINISHED |
| Object | theater exhibitors’ cooperative |
—
|
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: theater exhibitors’ cooperative | Statement: [First National Pictures, businessModelOrigin, theater exhibitors’ cooperative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessModelOrigin Context triple: [First National Pictures, businessModelOrigin, theater exhibitors’ cooperative]
-
A.
businessModelPioneerOf
Indicates that an entity was the first or among the first to introduce, develop, or popularize a particular business model that others later adopted.
-
B.
businessOrigin
chosen
Indicates the place, source, or context from which a business or commercial entity originates or was established.
-
C.
businessModelFocus
Indicates that one entity’s business model is centered on, tailored to, or primarily oriented around another entity or specific focus area.
-
D.
businessModelAdvocacy
Indicates that an entity promotes, supports, or argues in favor of a particular business model or way of generating value.
-
E.
formerBusinessModel
Indicates that an entity previously operated under a particular business model, but no longer does so.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.