Triple

T12355985
Position Surface form Disambiguated ID Type / Status
Subject The Birthday Party E294614 entity
Predicate mainCharacter P1183 FINISHED
Object Lulu
Lulu is the central character in Harold Pinter’s play "The Birthday Party," around whom the play’s unsettling and ambiguous events revolve.
 E979913 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: Lulu | Statement: [The Birthday Party, mainCharacter, Lulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lulu
Context triple: [The Birthday Party, mainCharacter, Lulu]
  • A. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • B. Lulu
    Lulu is a central character in the 1999 British cult film "Human Traffic," which explores the lives and clubbing culture of young people in Cardiff.
  • C. Lulu Bett
    Lulu Bett is the central character of Zona Gale's Pulitzer Prize-winning novel "Miss Lulu Bett," a quiet, self-effacing Midwestern woman whose constrained life and unexpected marriage spark a journey toward independence and self-realization.
  • D. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • E. Lulu Ferocity
    Lulu Ferocity is a central character known for her bold, dynamic presence and fierce, fashion-forward persona in the narrative of "Pose."
  • 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: Lulu
Triple: [The Birthday Party, mainCharacter, Lulu]
Generated description
Lulu is the central character in Harold Pinter’s play "The Birthday Party," around whom the play’s unsettling and ambiguous events revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lulu
Target entity description: Lulu is the central character in Harold Pinter’s play "The Birthday Party," around whom the play’s unsettling and ambiguous events revolve.
  • A. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • B. Lulu
    Lulu is a central character in the 1999 British cult film "Human Traffic," which explores the lives and clubbing culture of young people in Cardiff.
  • C. Lulu Bett
    Lulu Bett is the central character of Zona Gale's Pulitzer Prize-winning novel "Miss Lulu Bett," a quiet, self-effacing Midwestern woman whose constrained life and unexpected marriage spark a journey toward independence and self-realization.
  • D. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • E. Lulu Ferocity
    Lulu Ferocity is a central character known for her bold, dynamic presence and fierce, fashion-forward persona in the narrative of "Pose."
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8bc60c8190b0ceb84093e70db4 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab4cdec8190849604ef2ec498ba completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be420308190bcb00d8b37b09ea2 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f63050f5d48190881688d12c4c1819 completed May 2, 2026, 5:11 p.m.
Created at: April 8, 2026, 9:54 p.m.