Triple

T11706423
Position Surface form Disambiguated ID Type / Status
Subject Darius Alizadeh E278255 entity
Predicate appearsIn P795 FINISHED
Object Devil May Care E56768 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 May Care | Statement: [Darius Alizadeh, appearsIn, Devil May Care]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devil May Care
Context triple: [Darius Alizadeh, appearsIn, Devil May Care]
  • A. Devil May Care chosen
    "Devil May Care" is a James Bond continuation novel written by Sebastian Faulks to mark the centenary of Ian Fleming’s birth.
  • B. Devil May Cry 5
    Devil May Cry 5 is a stylish, fast-paced action game by Capcom known for its over-the-top combat, gothic aesthetic, and continuation of the long-running Devil May Cry series.
  • C. Devil May Cry
    Devil May Cry is a stylish, fast-paced action video game series known for its combo-heavy combat, gothic atmosphere, and demon-hunting protagonist Dante.
  • D. DmC: Devil May Cry
    DmC: Devil May Cry is a 2013 action-adventure hack-and-slash video game that reimagines Capcom’s Devil May Cry series with a younger Dante and a modern, stylized setting.
  • E. Rage
    Rage is a nonfiction book by investigative journalist Bob Woodward that examines the Trump presidency through interviews, insider accounts, and analysis of key events.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49c8c38819083d83f5fdec52b7f completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef836388bc8190827ce4af609d8b61 completed April 27, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:40 p.m.