Triple

T9474020
Position Surface form Disambiguated ID Type / Status
Subject Lookingglass Theatre Company E228464 entity
Predicate hasProduction P26032 FINISHED
Object The Wooden Breeks
The Wooden Breeks is a stage play known for its darkly whimsical, fairy-tale-like storytelling and imaginative theatrical style.
E801447 NE FINISHED

How this triple was built (4 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: The Wooden Breeks | Statement: [Lookingglass Theatre Company, hasProduction, The Wooden Breeks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Wooden Breeks
Context triple: [Lookingglass Theatre Company, hasProduction, The Wooden Breeks]
  • A. Knick Knack
    Knick Knack is a 1989 Pixar animated short film known for its slapstick humor and distinctive 3D computer animation style.
  • B. The Hoose-Gow
    The Hoose-Gow is a 1929 Laurel and Hardy short comedy film known for its prison-escape antics and slapstick humor.
  • C. Sawdust
    Sawdust is a compilation album by American rock band The Killers, featuring B-sides, rarities, and previously unreleased tracks.
  • D. Bed and Board
    Bed and Board is a 1970 French romantic dramedy film by François Truffaut, continuing the story of Antoine Doinel as he navigates the challenges of marriage and adulthood.
  • E. Pale Hose
    Pale Hose is a traditional nickname for the Chicago White Sox Major League Baseball team.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Wooden Breeks
Triple: [Lookingglass Theatre Company, hasProduction, The Wooden Breeks]
Generated description
The Wooden Breeks is a stage play known for its darkly whimsical, fairy-tale-like storytelling and imaginative theatrical style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Wooden Breeks
Target entity description: The Wooden Breeks is a stage play known for its darkly whimsical, fairy-tale-like storytelling and imaginative theatrical style.
  • A. Knick Knack
    Knick Knack is a 1989 Pixar animated short film known for its slapstick humor and distinctive 3D computer animation style.
  • B. The Hoose-Gow
    The Hoose-Gow is a 1929 Laurel and Hardy short comedy film known for its prison-escape antics and slapstick humor.
  • C. Sawdust
    Sawdust is a compilation album by American rock band The Killers, featuring B-sides, rarities, and previously unreleased tracks.
  • D. Bed and Board
    Bed and Board is a 1970 French romantic dramedy film by François Truffaut, continuing the story of Antoine Doinel as he navigates the challenges of marriage and adulthood.
  • E. Pale Hose
    Pale Hose is a traditional nickname for the Chicago White Sox Major League Baseball team.
  • F. None of above. chosen

Provenance (5 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ff23aec8190b5341eb9bd816a43 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122d625fc8190b8222930449ad3da completed April 4, 2026, 2:40 p.m.
NEDg Description generation batch_69d12395841c8190857de8a50ab6345c completed April 4, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69d1275bcbd88190a5742a9cf802425a completed April 4, 2026, 2:59 p.m.
Created at: March 30, 2026, 7:54 p.m.