Triple

T30464436
Position Surface form Disambiguated ID Type / Status
Subject Virginia Minstrels E775095 entity
Predicate performedAt P270 FINISHED
Object Chatham Theatre
Chatham Theatre was a 19th-century New York City playhouse known for hosting early blackface minstrel performances, including those of the pioneering Virginia Minstrels.
E1914169 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: Chatham Theatre | Statement: [Virginia Minstrels, performedAt, Chatham Theatre]
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: Chatham Theatre
Triple: [Virginia Minstrels, performedAt, Chatham Theatre]
Generated description
Chatham Theatre was a 19th-century New York City playhouse known for hosting early blackface minstrel performances, including those of the pioneering Virginia Minstrels.

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_69f2249622a48190b1fae2e3e4ee958a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686f245188190b823e2161ce1c498 completed May 2, 2026, 11:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798d183c081909241c1e483ec0433 completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a27995cdae081908306889d8242ee90 completed June 9, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_6a2799ce12748190802bc7d7e5b71b33 completed June 9, 2026, 4:42 a.m.
Created at: April 29, 2026, 8:11 p.m.