Triple

T30780004
Position Surface form Disambiguated ID Type / Status
Subject Golden Age of British cinema E783782 entity
Predicate regulation P1051 FINISHED
Object Cinematograph Films Act 1927
The Cinematograph Films Act 1927 was a British law that introduced film quotas to protect and stimulate the domestic film industry, helping to trigger the Golden Age of British cinema.
E1930681 NE 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: Cinematograph Films Act 1927 | Statement: [Golden Age of British cinema, regulation, Cinematograph Films Act 1927]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cinematograph Films Act 1927
Triple: [Golden Age of British cinema, regulation, Cinematograph Films Act 1927]
Generated description
The Cinematograph Films Act 1927 was a British law that introduced film quotas to protect and stimulate the domestic film industry, helping to trigger the Golden Age of British cinema.

Provenance (5 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_69f224b213c8819083886073f90b647e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68fe367d8819088c30ff3cb3866bb completed May 2, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b0a22cbc8190b1fe0d5ecf2ad0ce completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b1ecd9448190a88b0f465f97a8ba completed June 10, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a28b28e61f881908ea11ba5951789bd completed June 10, 2026, 12:40 a.m.
Created at: April 29, 2026, 8:41 p.m.