Triple

T9789329
Position Surface form Disambiguated ID Type / Status
Subject Young Guns E237567 entity
Predicate composer P1361 FINISHED
Object Anthony Marinelli E738238 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: Anthony Marinelli | Statement: [Young Guns, composer, Anthony Marinelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Marinelli
Context triple: [Young Guns, composer, Anthony Marinelli]
  • A. Anthony Marinelli chosen
    Anthony Marinelli is an American composer and musician best known for his film scores and extensive work in Hollywood soundtracks.
  • B. Anthony Marentino
    Anthony Marentino is a flamboyant, quick-witted wedding planner and stylist best known as Charlotte York’s close friend and eventual husband on the television series "Sex and the City."
  • C. Arthur Gallucci
    Arthur Gallucci was the husband of Hungarian-American socialite and actress Magda Gabor.
  • D. Anthony Rossomando
    Anthony Rossomando is an American musician and songwriter best known for co-writing the hit song "Shallow" from the 2018 film *A Star Is Born*.
  • E. Anthony Maraschi
    Anthony Maraschi was a 19th-century Italian Jesuit priest who played a key role in establishing Catholic education in California, most notably by founding the institution that became the University of San Francisco.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d299b0ed588190ae5fe6e87db668c7 completed April 5, 2026, 5:19 p.m.
Created at: March 30, 2026, 8:27 p.m.