Triple

T2795588
Position Surface form Disambiguated ID Type / Status
Subject Wietse Venema E53027 entity
Predicate notableWork P4 FINISHED
Object SATAN E298654 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: SATAN | Statement: [Wietse Venema, notableWork, SATAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SATAN
Context triple: [Wietse Venema, notableWork, SATAN]
  • A. SATAN chosen
    SATAN is an early network security scanner tool that automated the process of finding vulnerabilities in Unix systems.
  • B. Ave Satani
    Ave Satani is a choral, Latin-language piece composed by Jerry Goldsmith, best known as the ominous, pseudo-liturgical theme music for the horror film The Omen (1976).
  • C. Šatan
    Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
  • D. Remembering Satan
    "Remembering Satan" is a nonfiction book by journalist Lawrence Wright that investigates a notorious case of alleged recovered memories and satanic ritual abuse in the United States.
  • E. the Devil
    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.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddef754081908e6218dc2208e0fd completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9069f481908c4a3e8814caf590 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:58 p.m.