Triple

T31902195
Position Surface form Disambiguated ID Type / Status
Subject Theatres Act 1968 E814454 entity
Predicate repealedAct P6257 FINISHED
Object Theatres Act 1843
The Theatres Act 1843 was a key piece of 19th-century British legislation that regulated and licensed public theatrical performances in the United Kingdom.
 E1981847 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: Theatres Act 1843 | Statement: [Theatres Act 1968, repealedAct, Theatres Act 1843]
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: Theatres Act 1843
Triple: [Theatres Act 1968, repealedAct, Theatres Act 1843]
Generated description
The Theatres Act 1843 was a key piece of 19th-century British legislation that regulated and licensed public theatrical performances in the United Kingdom.

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_69f348f04d7881909537fc9e7cbc670e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b1afafc0819082b8e1cb21125171 completed May 3, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e7ff3a0688190bc4886f7f6231cf9 completed June 14, 2026, 10:18 a.m.
NEDg Description generation batch_6a2e808c5b1081909fdf8a3c7ab91459 completed June 14, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8155e4788190badcebd73ae27e02 completed June 14, 2026, 10:24 a.m.
Created at: April 30, 2026, 11:59 p.m.