Triple

T28560841
Position Surface form Disambiguated ID Type / Status
Subject Lorna Dee Cervantes E722536 entity
Predicate founded P104 FINISHED
Object Red Dirt Press
Red Dirt Press is an independent publishing house established by acclaimed Chicana poet Lorna Dee Cervantes, known for promoting diverse and underrepresented literary voices.
 E1822878 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: Red Dirt Press | Statement: [Lorna Dee Cervantes, founded, Red Dirt Press]
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: Red Dirt Press
Triple: [Lorna Dee Cervantes, founded, Red Dirt Press]
Generated description
Red Dirt Press is an independent publishing house established by acclaimed Chicana poet Lorna Dee Cervantes, known for promoting diverse and underrepresented literary voices.

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_69f01a5f69d08190ad5c0d2167078dec completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f6505359288190b94745bff36718d5 completed May 2, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cac73518c819096cac0c05a47eecd completed May 31, 2026, 9:47 p.m.
NEDg Description generation batch_6a1cad2176088190b0a526811f5c0016 completed May 31, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a1cadfb2d808190b2b46e8e2b7e2274 completed May 31, 2026, 9:54 p.m.
Created at: April 28, 2026, 4:04 a.m.