Triple

T22258044
Position Surface form Disambiguated ID Type / Status
Subject Maxïmo Park E550141 entity
Predicate notableWork P4 FINISHED
Object Too Much Information NE NERFINISHED

How this triple was built (3 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: Too Much Information | Statement: [Maxïmo Park, notableWork, Too Much Information]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Too Much Information
Context triple: [Maxïmo Park, notableWork, Too Much Information]
  • A. Too Much Information
    "Too Much Information" is a book by legal scholar Cass Sunstein that examines how the overabundance and misuse of information can harm individuals and society and argues for smarter regulation of data and disclosure.
  • B. Too Much, Too Soon
    Too Much, Too Soon is a 1958 biographical drama film about the troubled life of actress Diana Barrymore, adapted from her memoir of the same name.
  • C. Too Much of a Good Thing
    "Too Much of a Good Thing" is a song best known as a track by the American rock band What I Do.
  • D. The Information Explosion
    "The Information Explosion" is an essay by Richard Dawkins that examines the rapid growth of information in biology and culture, and its implications for evolution and human knowledge.
  • E. Knowing Too Much
    "Knowing Too Much" is a political analysis book by Norman Finkelstein that critiques American Jewish support for Israel and examines shifting U.S. public opinion on the Israeli–Palestinian conflict.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Too Much Information
Target entity description: "Too Much Information" is a 2014 studio album by British indie rock band Maxïmo Park, showcasing their melodic, lyrically driven alternative rock sound.
  • A. Too Much Information
    "Too Much Information" is a book by legal scholar Cass Sunstein that examines how the overabundance and misuse of information can harm individuals and society and argues for smarter regulation of data and disclosure.
  • B. Too Much, Too Soon
    Too Much, Too Soon is a 1958 biographical drama film about the troubled life of actress Diana Barrymore, adapted from her memoir of the same name.
  • C. Too Much of a Good Thing
    "Too Much of a Good Thing" is a song best known as a track by the American rock band What I Do.
  • D. The Information Explosion
    "The Information Explosion" is an essay by Richard Dawkins that examines the rapid growth of information in biology and culture, and its implications for evolution and human knowledge.
  • E. Knowing Too Much
    "Knowing Too Much" is a political analysis book by Norman Finkelstein that critiques American Jewish support for Israel and examines shifting U.S. public opinion on the Israeli–Palestinian conflict.
  • F. None of above. chosen

Provenance (2 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c4bff48190b4be83f5f7677ac8 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.