Triple

T976095
Position Surface form Disambiguated ID Type / Status
Subject Kerplunk E21055 entity
Predicate previousWork P9710 FINISHED
Object Slappy
Slappy is a fictional ventriloquist’s dummy and recurring villain from R.L. Stine’s Goosebumps series, known for coming to life and causing chaos.
 E114552 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: Slappy | Statement: [Kerplunk, previousWork, Slappy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slappy
Context triple: [Kerplunk, previousWork, Slappy]
  • A. Laffing Sal
    Laffing Sal is a historic, animatronic laughing woman figure from early 20th-century amusement parks, now preserved as a popular attraction at San Francisco’s Musée Mécanique.
  • B. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • C. Willie
    Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. Charlie Bubbles
    Charlie Bubbles is a 1967 British comedy-drama film, directed by and starring Albert Finney, noted for its portrayal of a disillusioned writer returning to his Northern England roots.
  • 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: Slappy
Triple: [Kerplunk, previousWork, Slappy]
Generated description
Slappy is a fictional ventriloquist’s dummy and recurring villain from R.L. Stine’s Goosebumps series, known for coming to life and causing chaos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slappy
Target entity description: Slappy is a fictional ventriloquist’s dummy and recurring villain from R.L. Stine’s Goosebumps series, known for coming to life and causing chaos.
  • A. Laffing Sal
    Laffing Sal is a historic, animatronic laughing woman figure from early 20th-century amusement parks, now preserved as a popular attraction at San Francisco’s Musée Mécanique.
  • B. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • C. Willie
    Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. Charlie Bubbles
    Charlie Bubbles is a 1967 British comedy-drama film, directed by and starring Albert Finney, noted for its portrayal of a disillusioned writer returning to his Northern England roots.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46234c88190b2bfc9cafe59d7f7 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170c0fdc8190b904ca5737764f5a completed March 7, 2026, 12:16 p.m.
NEDg Description generation batch_69ac17c2e6f48190be6fce7f279957c4 completed March 7, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69ac1845d6948190af8994e431ef357f completed March 7, 2026, 12:21 p.m.
Created at: March 1, 2026, 7:40 p.m.