Triple

T19645722
Position Surface form Disambiguated ID Type / Status
Subject Michael Lang E471665 entity
Predicate notableWork P4 FINISHED
Object Woodstock: An Inside Look at the Festival and the Aftermath (book) 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: Woodstock: An Inside Look at the Festival and the Aftermath (book) | Statement: [Michael Lang, notableWork, Woodstock: An Inside Look at the Festival and the Aftermath (book)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodstock: An Inside Look at the Festival and the Aftermath (book)
Context triple: [Michael Lang, notableWork, Woodstock: An Inside Look at the Festival and the Aftermath (book)]
  • A. Taking Woodstock
    Taking Woodstock is a 2009 comedy-drama film directed by Ang Lee that tells the behind-the-scenes story of how the legendary 1969 Woodstock music festival came to be staged.
  • B. Old Woodstock
    Old Woodstock is a small historic settlement on the edge of Woodstock in Oxfordshire, England, known for its proximity to Blenheim Palace and the River Glyme.
  • C. Woodstock for the baggy generation
    "Woodstock for the baggy generation" is a media nickname for the Stone Roses’ legendary 1990 Spike Island concert, highlighting its status as a defining, festival-like moment for the UK’s late-1980s/early-1990s Madchester and baggy music scene.
  • D. Woodstock
    Woodstock is a suburban city in the Atlanta metropolitan area, known for its rapidly growing population, revitalized downtown, and family-friendly community.
  • E. Woodstock
    Woodstock is a historic market town in Oxfordshire, England, best known as the location of Blenheim Palace, the birthplace of Sir Winston Churchill.
  • 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: Woodstock: An Inside Look at the Festival and the Aftermath (book)
Target entity description: "Woodstock: An Inside Look at the Festival and the Aftermath" is a nonfiction book by Woodstock co-creator Michael Lang that offers a behind-the-scenes account of organizing the iconic 1969 music festival and its lasting cultural impact.
  • A. Taking Woodstock
    Taking Woodstock is a 2009 comedy-drama film directed by Ang Lee that tells the behind-the-scenes story of how the legendary 1969 Woodstock music festival came to be staged.
  • B. Old Woodstock
    Old Woodstock is a small historic settlement on the edge of Woodstock in Oxfordshire, England, known for its proximity to Blenheim Palace and the River Glyme.
  • C. Woodstock for the baggy generation
    "Woodstock for the baggy generation" is a media nickname for the Stone Roses’ legendary 1990 Spike Island concert, highlighting its status as a defining, festival-like moment for the UK’s late-1980s/early-1990s Madchester and baggy music scene.
  • D. Woodstock
    Woodstock is the small, yellow bird who serves as Snoopy’s loyal friend and sidekick in the Peanuts comic strip.
  • E. Woodstock
    Woodstock is a suburban city in the Atlanta metropolitan area, known for its rapidly growing population, revitalized downtown, and family-friendly community.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641250e108190a707452fefc87041 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.