Triple

T14738776
Position Surface form Disambiguated ID Type / Status
Subject Julieta Madrigal E346286 entity
Predicate givenName P17 FINISHED
Object Julieta E344101 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: Julieta | Statement: [Julieta Madrigal, givenName, Julieta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julieta
Context triple: [Julieta Madrigal, givenName, Julieta]
  • A. Julieta chosen
    Julieta is a 2016 Spanish drama film written and directed by Pedro Almodóvar, adapted from Alice Munro stories and produced by his company El Deseo.
  • B. Capuleño
    Capuleño is an alternative name for the Inabaknon language, an Austronesian language spoken primarily on Capul Island in the Philippines.
  • C. Julietta
    Julietta is a surreal three-act opera by Czech composer Bohuslav Martinů, based on Georges Neveux’s play about a man searching for a woman in a dreamlike town where people have lost their memories.
  • D. Doña Juana
    Doña Juana is a stratovolcano in the Northern Volcanic Zone of the Andes, known for its explosive eruptions and location in southwestern Colombia.
  • E. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb90378481909a3083680f11101c completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.