Triple

T10285983
Position Surface form Disambiguated ID Type / Status
Subject Song of the South E241227 entity
Predicate musicBy P1952 FINISHED
Object Daniele Amfitheatrof E590769 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: Daniele Amfitheatrof | Statement: [Song of the South, musicBy, Daniele Amfitheatrof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniele Amfitheatrof
Context triple: [Song of the South, musicBy, Daniele Amfitheatrof]
  • A. Daniele Amfitheatrof chosen
    Daniele Amfitheatrof was an Italian-American composer and conductor best known for his film scores during Hollywood's Golden Age.
  • B. Andrea Molesini
    Andrea Molesini is an Italian writer and academic best known for his award-winning novels, particularly in contemporary Italian literature.
  • C. Daniele Massaccesi
    Daniele Massaccesi is an Italian cinematographer best known for his work on major films such as *The Matrix Resurrections*.
  • D. Francesco Bontempi
    Francesco Bontempi is an Italian music producer and songwriter best known for his work in the 1990s Eurodance scene, particularly with projects like Corona.
  • E. Dionigi Tettamanzi
    Dionigi Tettamanzi was an Italian cardinal of the Roman Catholic Church, known for serving as Archbishop of Milan and being considered a leading papabile in the early 2000s.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b8343c819087c50e5471c46e3f completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750097f1c8190a4b04e3758c89aae completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:40 a.m.