Triple

T7256994
Position Surface form Disambiguated ID Type / Status
Subject Spanglish E157746 entity
Predicate title P38 FINISHED
Object Spanglish E157746 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: Spanglish | Statement: [Spanglish, title, Spanglish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spanglish
Context triple: [Spanglish, title, Spanglish]
  • A. Spanglish chosen
    Spanglish is a 2004 romantic dramedy film directed by James L. Brooks that explores cultural clashes and family dynamics between a Mexican housekeeper and an affluent American family.
  • B. Chicano English
    Chicano English is a distinct, rule-governed variety of American English commonly spoken by Mexican Americans, characterized by unique phonological and syntactic features influenced by Spanish and regional dialects.
  • C. Chabacano
    Chabacano is a major Mexico City Metro transfer station that connects multiple lines and serves as an important transit hub in the city’s network.
  • D. Mexican Spanish
    Mexican Spanish is the variety of the Spanish language spoken in Mexico, characterized by distinctive pronunciation, vocabulary, and influences from indigenous languages.
  • E. Chavacano
    Chavacano is a Spanish-based creole language spoken in parts of the Philippines, particularly in Zamboanga City and other areas of Mindanao.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa274bc8190b017b71583711453 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3b541708190b66233813b167453 completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:57 p.m.