Triple

T15949597
Position Surface form Disambiguated ID Type / Status
Subject De la Garza family ranch E386778 entity
Predicate inhabitedBy P6481 FINISHED
Object Chencha
Chencha is a loyal and talkative servant in the De la Garza household in Laura Esquivel’s novel "Like Water for Chocolate."
E1186114 NE FINISHED

How this triple was built (4 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: Chencha | Statement: [De la Garza family ranch, inhabitedBy, Chencha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chencha
Context triple: [De la Garza family ranch, inhabitedBy, Chencha]
  • A. Chaiba
    Chaiba is a town located within Algeria’s coastal Tipaza Province.
  • B. Chaam
    Chaam is a village in the Dutch province of North Brabant, known for its rural character and historic ties to the Baronie of Breda.
  • C. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • D. Chienti
    The Chienti is a river in the Marche region of central Italy that flows through the province of Macerata before emptying into the Adriatic Sea.
  • E. Chaha
    Chaha is a Gurage language variety spoken in Ethiopia, known for its complex phonology and membership in the Semitic branch of the Afroasiatic language family.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Chencha
Triple: [De la Garza family ranch, inhabitedBy, Chencha]
Generated description
Chencha is a loyal and talkative servant in the De la Garza household in Laura Esquivel’s novel "Like Water for Chocolate."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chencha
Target entity description: Chencha is a loyal and talkative servant in the De la Garza household in Laura Esquivel’s novel "Like Water for Chocolate."
  • A. Chaiba
    Chaiba is a town located within Algeria’s coastal Tipaza Province.
  • B. Chaam
    Chaam is a village in the Dutch province of North Brabant, known for its rural character and historic ties to the Baronie of Breda.
  • C. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • D. Chienti
    The Chienti is a river in the Marche region of central Italy that flows through the province of Macerata before emptying into the Adriatic Sea.
  • E. Chaha
    Chaha is a Gurage language variety spoken in Ethiopia, known for its complex phonology and membership in the Semitic branch of the Afroasiatic language family.
  • F. None of above. chosen

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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d4c5008190a56ebf8c28f712dc completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe76df6481909f8246099faa377a completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf61b2ec81909c0f32613bb91a82 completed May 9, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfddd0348190baab794f613c71bf completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.