Triple

T11982876
Position Surface form Disambiguated ID Type / Status
Subject Disney Channel Circle of Stars E285202 entity
Predicate notableMember P10 FINISHED
Object Peyton List
Peyton List is an American actress and model best known for her roles on Disney Channel series such as "Jessie" and "Bunk'd."
E958189 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: Peyton List | Statement: [Disney Channel Circle of Stars, notableMember, Peyton List]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peyton List
Context triple: [Disney Channel Circle of Stars, notableMember, Peyton List]
  • A. Peyton Westlake
    Peyton Westlake is a disfigured scientist-turned-vigilante who uses synthetic skin and brutal methods to seek revenge in the Darkman film series.
  • B. Peyton
    Peyton is a given name most famously borne by Peyton Randolph, the first president of the Continental Congress in early American history.
  • C. Lacey Pemberton
    Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
  • D. Autumn Reeser
    Autumn Reeser is an American actress best known for her television roles on series such as "The O.C.," "Entourage," and numerous Hallmark Channel movies.
  • E. Addison Clark
    Addison Clark was an American educator and co-founder of Texas Christian University, playing a key role in its early development and leadership.
  • 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: Peyton List
Triple: [Disney Channel Circle of Stars, notableMember, Peyton List]
Generated description
Peyton List is an American actress and model best known for her roles on Disney Channel series such as "Jessie" and "Bunk'd."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peyton List
Target entity description: Peyton List is an American actress and model best known for her roles on Disney Channel series such as "Jessie" and "Bunk'd."
  • A. Peyton Westlake
    Peyton Westlake is a disfigured scientist-turned-vigilante who uses synthetic skin and brutal methods to seek revenge in the Darkman film series.
  • B. Peyton
    Peyton is a given name most famously borne by Peyton Randolph, the first president of the Continental Congress in early American history.
  • C. Lacey Pemberton
    Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
  • D. Autumn Reeser
    Autumn Reeser is an American actress best known for her television roles on series such as "The O.C.," "Entourage," and numerous Hallmark Channel movies.
  • E. Addison Clark
    Addison Clark was an American educator and co-founder of Texas Christian University, playing a key role in its early development and leadership.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903973c848190aac871d6dfecc74b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4721913108190bd767c671f6484de completed May 1, 2026, 9:27 a.m.
NEDg Description generation batch_69f47b7c5af08190ab0bff1232530a0c completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47dd51e648190bddd41766221e22d completed May 1, 2026, 10:17 a.m.
Created at: April 8, 2026, 9:46 p.m.