Triple

T2719728
Position Surface form Disambiguated ID Type / Status
Subject Pinocchio E60052 entity
Predicate hasCharacter P2308 FINISHED
Object Lampwick
Lampwick is a mischievous, troublemaking boy in the story of Pinocchio who leads the title character astray, ultimately transforming into a donkey as a consequence of his bad behavior.
 E293192 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: Lampwick | Statement: [Pinocchio, hasCharacter, Lampwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lampwick
Context triple: [Pinocchio, hasCharacter, Lampwick]
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. Parlick
    Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
  • C. Tackley
    Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
  • D. Brylin
    Brylin is the surname of Sergei Brylin, a former Russian professional ice hockey player and three-time Stanley Cup champion with the New Jersey Devils.
  • E. Nasonville
    Nasonville is a village and census-designated place in the town of Burrillville in northern Rhode Island.
  • 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: Lampwick
Triple: [Pinocchio, hasCharacter, Lampwick]
Generated description
Lampwick is a mischievous, troublemaking boy in the story of Pinocchio who leads the title character astray, ultimately transforming into a donkey as a consequence of his bad behavior.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lampwick
Target entity description: Lampwick is a mischievous, troublemaking boy in the story of Pinocchio who leads the title character astray, ultimately transforming into a donkey as a consequence of his bad behavior.
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. Parlick
    Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
  • C. Tackley
    Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
  • D. Brylin
    Brylin is the surname of Sergei Brylin, a former Russian professional ice hockey player and three-time Stanley Cup champion with the New Jersey Devils.
  • E. Nasonville
    Nasonville is a village and census-designated place in the town of Burrillville in northern Rhode Island.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdab06d388190acf690787fe58ab5 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68ebd0081908bb360872d559e1f completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb75ea498819089c79e63052e9696 completed March 10, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_69afb83ba6dc8190931d691d3e354bd7 completed March 10, 2026, 6:20 a.m.
Created at: March 6, 2026, 9:55 p.m.