Triple

T28139784
Position Surface form Disambiguated ID Type / Status
Subject Tomás Rivera E714312 entity
Predicate notableWork P4 FINISHED
Object ...y no se lo tragó la tierra
...y no se lo tragó la tierra is a seminal Chicano novel-in-stories that portrays the struggles and inner lives of Mexican American migrant farmworkers in mid-20th-century United States.
 E714317 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: ...y no se lo tragó la tierra | Statement: [Tomás Rivera, notableWork, ...y no se lo tragó la tierra]
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: ...y no se lo tragó la tierra
Triple: [Tomás Rivera, notableWork, ...y no se lo tragó la tierra]
Generated description
...y no se lo tragó la tierra is a seminal Chicano novel-in-stories that portrays the struggles and inner lives of Mexican American migrant farmworkers in mid-20th-century United States.

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_69efd6af156c81908f50c2cd7db0e1ef completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64133fc4081908f9d682dcfdbd517 completed May 2, 2026, 6:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d7a249808190a822fb949af996ea completed May 26, 2026, 5:25 p.m.
NEDg Description generation batch_6a15dad9fac881908a639795ac0a908b completed May 26, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_6a15db82ef1481908402a27126482289 completed May 26, 2026, 5:42 p.m.
Created at: April 27, 2026, 9:52 p.m.