Triple

T3983635
Position Surface form Disambiguated ID Type / Status
Subject UK Singles Chart E86817 entity
Predicate firstNumberOneArtist P9653 FINISHED
Object Al Martino E210882 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: Al Martino | Statement: [UK Singles Chart, firstNumberOneArtist, Al Martino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Martino
Context triple: [UK Singles Chart, firstNumberOneArtist, Al Martino]
  • A. Al Martino chosen
    Al Martino was an American traditional pop and easy listening singer best known for hits like "Here in My Heart" and for playing Johnny Fontane in the film "The Godfather."
  • B. De Martino
    De Martino is an Italian surname borne by various notable figures in fields such as politics, academia, and the arts.
  • C. Alfredo Keil
    Alfredo Keil was a Portuguese composer and painter best known for writing the music of Portugal’s national anthem, "A Portuguesa."
  • D. Francisco Tamburini
    Francisco Tamburini was an Italian-Argentine architect renowned for designing some of Buenos Aires’ most iconic late 19th-century public buildings.
  • E. Luciano Martino
    Luciano Martino was an Italian film producer and screenwriter known for his work in genre cinema, including numerous comedies and thrillers from the 1960s through the 1990s.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9de58d48190969f354a1bf0df94 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540284d548190821d37b68974a2d2 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.