Triple

T12976839
Position Surface form Disambiguated ID Type / Status
Subject Army of Darkness E321545 entity
Predicate musicBy P1952 FINISHED
Object Joseph LoDuca E154193 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: Joseph LoDuca | Statement: [Army of Darkness, musicBy, Joseph LoDuca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph LoDuca
Context triple: [Army of Darkness, musicBy, Joseph LoDuca]
  • A. Joseph LoDuca chosen
    Joseph LoDuca is an American television and film composer best known for his work on genre series such as Xena: Warrior Princess, Hercules: The Legendary Journeys, and other fantasy and adventure shows.
  • B. Phil Leotardo
    Phil Leotardo is a ruthless New York mob boss and major antagonist in the television series "The Sopranos."
  • C. Anthony DeLuca
    Anthony DeLuca is a character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
  • D. Mario Cantone
    Mario Cantone is an American comedian and actor best known for his high-energy stand-up and his role as the sharp-tongued Anthony Marentino in the Sex and the City franchise.
  • E. Fred Tatasciore
    Fred Tatasciore is an American voice actor known for his deep, powerful vocal performances in numerous animated series, films, and video games, often portraying larger-than-life or monstrous characters.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e48c0208190bb7ec80780480b37 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b366470819093a74828e2a85116 completed May 8, 2026, 11:01 p.m.
Created at: April 9, 2026, 8:38 p.m.