Triple

T14809475
Position Surface form Disambiguated ID Type / Status
Subject Melina Kanakaredes E348134 entity
Predicate givenName P17 FINISHED
Object Melina E439215 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: Melina | Statement: [Melina Kanakaredes, givenName, Melina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melina
Context triple: [Melina Kanakaredes, givenName, Melina]
  • A. Melina chosen
    Melina is a key resistance fighter and love interest in the science fiction film "Total Recall," known for aiding the protagonist in his struggle against a corrupt Martian regime.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • D. Alessandra
    Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
  • E. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf35a5e081909321193ef37099d1 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b47389c8190ab0a46e3b4653a2a completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:45 a.m.