Triple

T2246782
Position Surface form Disambiguated ID Type / Status
Subject Gwendoline Christie E49521 entity
Predicate characterPortrayed P1507 FINISHED
Object Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
E289036 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: Larissa Weems | Statement: [Gwendoline Christie, characterPortrayed, Larissa Weems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larissa Weems
Context triple: [Gwendoline Christie, characterPortrayed, Larissa Weems]
  • A. Tracey Scott Wilson
    Tracey Scott Wilson is an American playwright, television writer, and screenwriter known for her work in theater and on series such as "The Americans" and "Fosse/Verdon."
  • B. Janelle Lacey
    Janelle Lacey is known as the former wife of American actor Richard Dreyfuss.
  • C. Malissa Smith
    Malissa Smith is a member of the Smith family and a sibling of Joseph Smith, the founder of the Latter Day Saint movement.
  • D. Yvette Wilson
    Yvette Wilson was an American comedian and actress best known for her role as Andell Wilkerson on the sitcoms "Moesha" and its spin-off "The Parkers."
  • E. Alicia Johns
    Alicia Johns is a lively, mischievous, and sharp-tongued schoolgirl known for her pranks and strong personality in Enid Blyton’s Malory Towers series.
  • 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: Larissa Weems
Triple: [Gwendoline Christie, characterPortrayed, Larissa Weems]
Generated description
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Larissa Weems
Target entity description: Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
  • A. Tracey Scott Wilson
    Tracey Scott Wilson is an American playwright, television writer, and screenwriter known for her work in theater and on series such as "The Americans" and "Fosse/Verdon."
  • B. Janelle Lacey
    Janelle Lacey is known as the former wife of American actor Richard Dreyfuss.
  • C. Malissa Smith
    Malissa Smith is a member of the Smith family and a sibling of Joseph Smith, the founder of the Latter Day Saint movement.
  • D. Yvette Wilson
    Yvette Wilson was an American comedian and actress best known for her role as Andell Wilkerson on the sitcoms "Moesha" and its spin-off "The Parkers."
  • E. Alicia Johns
    Alicia Johns is a lively, mischievous, and sharp-tongued schoolgirl known for her pranks and strong personality in Enid Blyton’s Malory Towers series.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ec46b08190ae12de8b255eb71d completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa03c35f48190a4ad11595fea91ae completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa24054f48190a7af299c72962b3b completed March 10, 2026, 4:46 a.m.
NED2 Entity disambiguation (via description) batch_69afa2da7cc88190a9568cd573ce5b41 completed March 10, 2026, 4:49 a.m.
Created at: March 4, 2026, 7:47 p.m.