Triple

T2492220
Position Surface form Disambiguated ID Type / Status
Subject Fear: Trump in the White House E52068 entity
Predicate hasSequel P1961 FINISHED
Object Rage E52069 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: Rage | Statement: [Fear: Trump in the White House, hasSequel, Rage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rage
Context triple: [Fear: Trump in the White House, hasSequel, Rage]
  • A. Rage chosen
    Rage is a nonfiction book by investigative journalist Bob Woodward that examines the Trump presidency through interviews, insider accounts, and analysis of key events.
  • B. Rage
    Rage is a post-apocalyptic first-person shooter video game developed by id Software, known for its advanced graphics technology and vehicular combat elements.
  • C. Havoc
    Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
  • D. Devil May Care
    "Devil May Care" is a James Bond continuation novel written by Sebastian Faulks to mark the centenary of Ian Fleming’s birth.
  • E. Strife
    Strife is a 1909 stage play by John Galsworthy that portrays a bitter industrial conflict between capital and labor, highlighting the human cost of class struggle.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1914ca48190ab0a6cc5f1bd2f56 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f93a29081908de1107bf0f96647 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:45 p.m.