Triple

T7522252
Position Surface form Disambiguated ID Type / Status
Subject Miluska Rosales E177799 entity
Predicate spouse P13 FINISHED
Object Rossano Rubicondi E31867 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: Rossano Rubicondi | Statement: [Miluska Rosales, spouse, Rossano Rubicondi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rossano Rubicondi
Context triple: [Miluska Rosales, spouse, Rossano Rubicondi]
  • A. Rossano Rubicondi chosen
    Rossano Rubicondi was an Italian actor, model, and television personality best known internationally for his high-profile marriage to Ivana Trump.
  • B. Giulio Petroni
    Giulio Petroni was an Italian film director best known for his influential work in the Spaghetti Western genre during the 1960s and 1970s.
  • C. Piero Piccioni
    Piero Piccioni was an Italian film composer and jazz musician known for his prolific work scoring Italian and international cinema from the 1950s through the 1980s.
  • D. Luciano Rossi
    Luciano Rossi is an Italian actor best known for his character roles in Spaghetti Westerns and crime films of the 1960s and 1970s.
  • E. Guido Quaroni
    Guido Quaroni is an Italian-born Pixar technical director and voice actor best known for voicing the character Guido in the animated film "Cars."
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c3c4c08190ad418978afcc98ec completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d4d14df7888190aadd3f506b6b4cd2 completed April 7, 2026, 9:41 a.m.
Created at: March 27, 2026, 3:46 p.m.