Triple

T9953645
Position Surface form Disambiguated ID Type / Status
Subject Krusty Burger E195391 entity
Predicate hasEmployee P2308 FINISHED
Object Squeaky-Voiced Teen
Squeaky-Voiced Teen is a recurring minor character on The Simpsons, known for his high-pitched voice and awkward teenage demeanor while working various low-level service jobs.
 E830966 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: Squeaky-Voiced Teen | Statement: [Krusty Burger, hasEmployee, Squeaky-Voiced Teen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Squeaky-Voiced Teen
Context triple: [Krusty Burger, hasEmployee, Squeaky-Voiced Teen]
  • A. Young Girl
    Young Girl is a song by the American pop group The Guess Who, featured as a track on their album "In My Mind."
  • B. Young Boy
    "Young Boy" is a song featured on Paul McCartney’s 1997 album "Flaming Pie."
  • C. Young Boy
    "Young Boy" is a track by the hip-hop duo Clipse from their debut album "Lord Willin'."
  • D. Vocia
    Vocia is Biamp Systems’ networked paging and voice evacuation platform designed for scalable, distributed audio communication in commercial and public facilities.
  • E. Голос
    «Голос» — украинская политическая партия, основанная в 2019 году, известная своей проевропейской и реформаторской повесткой.
  • 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: Squeaky-Voiced Teen
Triple: [Krusty Burger, hasEmployee, Squeaky-Voiced Teen]
Generated description
Squeaky-Voiced Teen is a recurring minor character on The Simpsons, known for his high-pitched voice and awkward teenage demeanor while working various low-level service jobs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Squeaky-Voiced Teen
Target entity description: Squeaky-Voiced Teen is a recurring minor character on The Simpsons, known for his high-pitched voice and awkward teenage demeanor while working various low-level service jobs.
  • A. Young Girl
    Young Girl is a song by the American pop group The Guess Who, featured as a track on their album "In My Mind."
  • B. Young Boy
    "Young Boy" is a song featured on Paul McCartney’s 1997 album "Flaming Pie."
  • C. Young Boy
    "Young Boy" is a track by the hip-hop duo Clipse from their debut album "Lord Willin'."
  • D. Vocia
    Vocia is Biamp Systems’ networked paging and voice evacuation platform designed for scalable, distributed audio communication in commercial and public facilities.
  • E. Screaming Mimi
    Screaming Mimi is a member of the vampiric, psychic predator group known as the True Knot in Stephen King’s novel "Doctor Sleep."
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb693918081908e9f96ef302235ad completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2294335208190a0483c4e89abb359 completed April 5, 2026, 9:20 a.m.
NEDg Description generation batch_69d22b1a3e548190887b46540614536a completed April 5, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69d22bc3ac5c81908b0696ce94263d36 completed April 5, 2026, 9:30 a.m.
Created at: March 30, 2026, 8:46 p.m.