Triple

T15019880
Position Surface form Disambiguated ID Type / Status
Subject Last Exit to Brooklyn E378055 entity
Predicate mainCharacter P1183 FINISHED
Object Tralala
Tralala is a tragic, self-destructive prostitute in Hubert Selby Jr.'s novel "Last Exit to Brooklyn," emblematic of the book’s brutal depiction of urban despair and exploitation.
 E1132896 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: Tralala | Statement: [Last Exit to Brooklyn, mainCharacter, Tralala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tralala
Context triple: [Last Exit to Brooklyn, mainCharacter, Tralala]
  • A. La La La
    "La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
  • B. La-La-La
    "La-La-La" is a musical composition by renowned American composer Richard Rodgers, best known for his influential contributions to 20th-century musical theatre.
  • C. Lala
    Lala is a small town in the Hailakandi district of the Indian state of Assam.
  • D. Lala
    Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
  • E. Dranse
    The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
  • 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: Tralala
Triple: [Last Exit to Brooklyn, mainCharacter, Tralala]
Generated description
Tralala is a tragic, self-destructive prostitute in Hubert Selby Jr.'s novel "Last Exit to Brooklyn," emblematic of the book’s brutal depiction of urban despair and exploitation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tralala
Target entity description: Tralala is a tragic, self-destructive prostitute in Hubert Selby Jr.'s novel "Last Exit to Brooklyn," emblematic of the book’s brutal depiction of urban despair and exploitation.
  • A. La La La
    "La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
  • B. La-La-La
    "La-La-La" is a musical composition by renowned American composer Richard Rodgers, best known for his influential contributions to 20th-century musical theatre.
  • C. Lala
    Lala is a small town in the Hailakandi district of the Indian state of Assam.
  • D. Lala
    Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
  • E. Dranse
    The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded76445988190984b57de66e00c4a completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd078e481908ec78db57541fc4c completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9f3afcc08190bd9eac0b2619bf0a completed May 9, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_69fe9fa89bd481909235d2ec377a0d8e completed May 9, 2026, 2:44 a.m.
Created at: April 10, 2026, 2:56 a.m.