Triple

T11186723
Position Surface form Disambiguated ID Type / Status
Subject Bob Woodward's series of books on U.S. presidents E264686 entity
Predicate hasPart P35 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: [Bob Woodward's series of books on U.S. presidents, hasPart, Rage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rage
Context triple: [Bob Woodward's series of books on U.S. presidents, hasPart, 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. Rage
    Rage is a historical adventure novel by Wilbur Smith that continues the saga of the Courtney family against the backdrop of apartheid-era South Africa.
  • D. Rage
    Rage is a psychological horror novel by Stephen King, originally published under the pseudonym Richard Bachman, that follows a troubled high school student who takes his class hostage.
  • E. Rage
    Rage is a Japanese crime drama film featuring Ken Watanabe in a central role, exploring the aftermath of a brutal murder and the corrosive effects of suspicion on human relationships.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8abbeac8190ad6e419258999f4e completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483d0f4548190b97c7725a9f7c0e6 completed April 19, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:29 p.m.