Triple

T23847585
Position Surface form Disambiguated ID Type / Status
Subject Chicano mural movement E592065 entity
Predicate notableArtist P601 FINISHED
Object Barbara Carrasco
Barbara Carrasco is a prominent Chicana artist and muralist known for her politically engaged public artworks that highlight Mexican American history, identity, and social justice.
E1829991 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: Barbara Carrasco | Statement: [Chicano mural movement, notableArtist, Barbara Carrasco]
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: Barbara Carrasco
Triple: [Chicano mural movement, notableArtist, Barbara Carrasco]
Generated description
Barbara Carrasco is a prominent Chicana artist and muralist known for her politically engaged public artworks that highlight Mexican American history, identity, and social justice.

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_69e25d221d908190b9b502ad31e66a3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c9851f988190af39f57f9b71da03 completed April 29, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf054c1481908fb39844c895112a completed June 1, 2026, 12:15 a.m.
NEDg Description generation batch_6a1cd020780c81908d33cd9d1676a762 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a249457116881909199d0b381a902c3 completed June 6, 2026, 9:42 p.m.
Created at: April 17, 2026, 8:10 p.m.