Triple

T36027552
Position Surface form Disambiguated ID Type / Status
Subject Children of Sanchez E1042173 entity
Predicate basedOnAuthor P2806 FINISHED
Object Oscar Lewis
Oscar Lewis was an American anthropologist and author best known for his studies of poverty and urban life in Mexico and for formulating the controversial concept of a “culture of poverty.”
 E2164666 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: Oscar Lewis | Statement: [Children of Sanchez, basedOnAuthor, Oscar Lewis]
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: Oscar Lewis
Triple: [Children of Sanchez, basedOnAuthor, Oscar Lewis]
Generated description
Oscar Lewis was an American anthropologist and author best known for his studies of poverty and urban life in Mexico and for formulating the controversial concept of a “culture of poverty.”

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_69f76e2c568881909e1e21f85252b0f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ace807f88190a80a8b93c03ec36a completed May 3, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38c005d5e08190908f13b44475161e completed June 22, 2026, 4:54 a.m.
NEDg Description generation batch_6a38c088eb848190a35f4cff5101fea5 completed June 22, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_6a38c11341d48190a70b63b26023add0 completed June 22, 2026, 4:58 a.m.
Created at: May 3, 2026, 4:07 p.m.