Triple

T12259603
Position Surface form Disambiguated ID Type / Status
Subject Celia E292186 entity
Predicate producer P490 FINISHED
Object Cracker Mallo
Cracker Mallo is a music track produced by Celia.
E968672 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: Cracker Mallo | Statement: [Celia, producer, Cracker Mallo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cracker Mallo
Context triple: [Celia, producer, Cracker Mallo]
  • A. Tookie De La Crème
    Tookie De La Crème is the quirky, insecure teenage heroine of Tyra Banks’s fantasy novel "Modelland," who is unexpectedly chosen to enter a mysterious, elite modeling world.
  • B. Al Rinker
    Al Rinker was an American singer and songwriter best known as a member of the Rhythm Boys vocal trio with Bing Crosby and for his contributions to early 20th-century popular music.
  • C. Dum Dum Dugan
    Dum Dum Dugan is a gruff, mustachioed World War II-era soldier and close ally of Nick Fury in Marvel Comics, renowned for his combat skills and leadership within elite military units.
  • D. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • E. Silkk the Shocker
    Silkk the Shocker is an American rapper from New Orleans known for his work with Master P’s No Limit Records and his distinctive offbeat flow in Southern hip hop.
  • 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: Cracker Mallo
Triple: [Celia, producer, Cracker Mallo]
Generated description
Cracker Mallo is a music track produced by Celia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cracker Mallo
Target entity description: Cracker Mallo is a music track produced by Celia.
  • A. Tookie De La Crème
    Tookie De La Crème is the quirky, insecure teenage heroine of Tyra Banks’s fantasy novel "Modelland," who is unexpectedly chosen to enter a mysterious, elite modeling world.
  • B. Al Rinker
    Al Rinker was an American singer and songwriter best known as a member of the Rhythm Boys vocal trio with Bing Crosby and for his contributions to early 20th-century popular music.
  • C. Dum Dum Dugan
    Dum Dum Dugan is a gruff, mustachioed World War II-era soldier and close ally of Nick Fury in Marvel Comics, renowned for his combat skills and leadership within elite military units.
  • D. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • E. Silkk the Shocker
    Silkk the Shocker is an American rapper from New Orleans known for his work with Master P’s No Limit Records and his distinctive offbeat flow in Southern hip hop.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac1b5148190838b782848e3fa36 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60bde9b0c81908df8207a8b6530af completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60c97a7e08190b782b3aa6d60d770 completed May 2, 2026, 2:39 p.m.
Created at: April 8, 2026, 9:52 p.m.