Triple

T7246590
Position Surface form Disambiguated ID Type / Status
Subject Address to the Deil E156485 entity
Predicate subject P450 FINISHED
Object Devil E38619 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: Devil | Statement: [Address to the Deil, subject, Devil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devil
Context triple: [Address to the Deil, subject, Devil]
  • A. Šatan
    Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
  • B. the Devil chosen
    The Devil is a supernatural embodiment of evil and temptation, commonly depicted in religious and literary traditions as a powerful adversary who bargains for human souls.
  • C. Deabolis
    Deabolis was a medieval Balkan town of strategic importance in the Byzantine–Norman conflicts, known as the site where the Treaty of Devol was concluded.
  • D. Shatana
    Shatana is a character from the Nart sagas, the traditional epic cycle of the North Caucasus peoples.
  • E. El Diablo
    El Diablo is the famous nickname of Bolivian football legend Marco Etcheverry, a creative attacking midfielder renowned for his playmaking skills.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea5a8bbc8190bf16747dbdd65ce8 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3987a888190ab19915b39dbf7eb completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:56 p.m.