Triple

T16766758
Position Surface form Disambiguated ID Type / Status
Subject Gob Bluth E407484 entity
Predicate hasRomanticRelationshipWith P9994 FINISHED
Object Marta Estrella E414232 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: Marta Estrella | Statement: [Gob Bluth, hasRomanticRelationshipWith, Marta Estrella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marta Estrella
Context triple: [Gob Bluth, hasRomanticRelationshipWith, Marta Estrella]
  • A. Marta Estrella chosen
    Marta Estrella is a recurring character on the television series "Arrested Development," known as a Spanish-language soap opera star who becomes romantically involved with multiple members of the Bluth family.
  • B. Blanca Estela
    Blanca Estela is a person whose full name is Blanca Estela Prat Carvajal, likely of Spanish-speaking origin.
  • C. María Sol
    María Sol is the younger sister of Argentine football star Lionel Messi and a member of the well-known Messi family.
  • D. María Rojo
    María Rojo is a renowned Mexican actress and politician known for her work in film, television, and public service.
  • E. Isela Vega
    Isela Vega was a renowned Mexican actress, singer, and filmmaker known for her bold, groundbreaking roles in Mexican cinema and cult films of the 1970s.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0330d6081908ce99f14c70b90f2 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b283a9808190ba76110cf3c7f3a9 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:21 a.m.