Triple

T3241215
Position Surface form Disambiguated ID Type / Status
Subject Lilo & Stitch E67968 entity
Predicate character P662 FINISHED
Object Pleakley
Pleakley is a one-eyed, nervous but well-meaning alien from the Lilo & Stitch franchise who serves as an Earth expert and comic sidekick to Jumba.
 E339911 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: Pleakley | Statement: [Lilo & Stitch, character, Pleakley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pleakley
Context triple: [Lilo & Stitch, character, Pleakley]
  • A. Cloyce
    Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
  • B. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • C. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • D. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • E. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • 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: Pleakley
Triple: [Lilo & Stitch, character, Pleakley]
Generated description
Pleakley is a one-eyed, nervous but well-meaning alien from the Lilo & Stitch franchise who serves as an Earth expert and comic sidekick to Jumba.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pleakley
Target entity description: Pleakley is a one-eyed, nervous but well-meaning alien from the Lilo & Stitch franchise who serves as an Earth expert and comic sidekick to Jumba.
  • A. Cloyce
    Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
  • B. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • C. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • D. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • E. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef76d908190815bb456e366ee0a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27754492c819099bab9a2a3344561 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b27a0c1f74819087bd0aa869eefd7b completed March 12, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_69b27acca734819083bdd7713b10ff1a completed March 12, 2026, 8:35 a.m.
Created at: March 8, 2026, 3:08 p.m.