Triple

T18193972
Position Surface form Disambiguated ID Type / Status
Subject Arch Enemy E435609 entity
Predicate associatedAct P37 FINISHED
Object Carcass NE NERFINISHED

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: Carcass | Statement: [Arch Enemy, associatedAct, Carcass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carcass
Context triple: [Arch Enemy, associatedAct, Carcass]
  • A. Carcass chosen
    Carcass is a pioneering British extreme metal band known for helping to shape both grindcore and melodic death metal through their technical musicianship and distinctive, often gore-themed lyrics.
  • B. Carcare
    Carcare is a small Italian town and municipality located in the Liguria region in northwestern Italy.
  • C. Carnicer
    Carnicer is a Spanish surname most notably associated with composer Ramón Carnicer, known for his contributions to 19th-century classical music.
  • D. Carreen
    Carreen is a fictional character from Margaret Mitchell's novel "Gone with the Wind," known as the gentle and devout younger sister of Scarlett O'Hara.
  • E. Carr
    Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d1eb1c81908c20b6d15e9c4e8e completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.