Triple

T18901845
Position Surface form Disambiguated ID Type / Status
Subject For Love of Evil E462355 entity
Predicate featuresOffice P80690 FINISHED
Object Evil 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: Evil | Statement: [For Love of Evil, featuresOffice, Evil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evil
Context triple: [For Love of Evil, featuresOffice, Evil]
  • A. Evil
    Evil is a psychological horror television series that follows a skeptical psychologist, a priest-in-training, and a contractor as they investigate alleged supernatural occurrences for the Catholic Church.
  • B. Evil chosen
    "Evil" is a soulful, introspective song by Stevie Wonder from his 1972 album *Music of My Mind*, reflecting on inner conflict and moral struggle.
  • C. Evil
    Evil is a popular Emacs extension that emulates Vim’s modal editing, allowing users to use Vim-style keybindings and workflows within Emacs.
  • D. Evile
    Evile is a British thrash metal band known for its aggressive sound and revival of classic 1980s thrash influences.
  • E. The Evil
    The Evil is a 1978 American supernatural horror film about a psychologist who opens a cursed mansion that becomes a deadly trap for its occupants.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52954bc8190a237627c09615ac1 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.