Triple
T1938091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Society of Motion Picture and Television Engineers |
E41488
|
entity |
| Predicate | industryServed |
P2193
|
FINISHED |
| Object | film industry |
—
|
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: film industry | Statement: [Society of Motion Picture and Television Engineers, industryServed, film industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryServed Context triple: [Society of Motion Picture and Television Engineers, industryServed, film industry]
-
A.
industryContext
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
B.
industryCenter
Indicates that a location functions as a primary hub or focal point for industrial activity or production.
-
C.
sectorServed
chosen
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
-
D.
industryConsortium
Indicates a collaborative association where multiple organizations formally join together within an industry to pursue shared goals, standards, or initiatives.
-
E.
isPartOfIndustry
Indicates that one entity belongs to, operates within, or is categorized under a particular industry sector.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c752fc81909baf38ff1cdeb18c |
completed | March 7, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.