Triple

T3700807
Position Surface form Disambiguated ID Type / Status
Subject Tom Walker E78572 entity
Predicate makesPactWith P11164 FINISHED
Object the 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: the Devil | Statement: [Tom Walker, makesPactWith, the Devil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Devil
Context triple: [Tom Walker, makesPactWith, the Devil]
  • A. 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.
  • B. Šatan
    Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
  • C. El Diablo
    El Diablo is the famous nickname of Bolivian football legend Marco Etcheverry, a creative attacking midfielder renowned for his playmaking skills.
  • D. SATAN
    SATAN is an early network security scanner tool that automated the process of finding vulnerabilities in Unix systems.
  • E. Il Diavolo
    Il Diavolo is a famous nickname for Italian football club AC Milan, reflecting its red-and-black colors and fiery, intimidating playing spirit.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc514eb6c8190b3b74a603c717729 completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3df86bc819088db92eecee69fd3 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.