Triple

T23847579
Position Surface form Disambiguated ID Type / Status
Subject Chicano mural movement E592065 entity
Predicate notableArtist P601 FINISHED
Object Carlos Almaraz
Carlos Almaraz was a prominent Mexican American painter whose vibrant, politically charged works and public murals helped define the Chicano art movement in Los Angeles during the 1970s and 1980s.
E1604620 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: Carlos Almaraz | Statement: [Chicano mural movement, notableArtist, Carlos Almaraz]
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: Carlos Almaraz
Triple: [Chicano mural movement, notableArtist, Carlos Almaraz]
Generated description
Carlos Almaraz was a prominent Mexican American painter whose vibrant, politically charged works and public murals helped define the Chicano art movement in Los Angeles during the 1970s and 1980s.

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_6a0f69abd73881909ea879e885c3c35a completed May 21, 2026, 8:23 p.m.
NEDg Description generation batch_6a0f6d40d1108190b4da250e40014008 completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e22305081909ad33dfaf65f004e completed May 21, 2026, 8:42 p.m.
Created at: April 17, 2026, 8:10 p.m.