Triple

T14242450
Position Surface form Disambiguated ID Type / Status
Subject Lisa the Simpson E353044 entity
Predicate directedBy P7373 FINISHED
Object Susie Dietter
Susie Dietter is an American animation director best known for her work on the television series "The Simpsons."
E1176939 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: Susie Dietter | Statement: [Lisa the Simpson, directedBy, Susie Dietter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susie Dietter
Context triple: [Lisa the Simpson, directedBy, Susie Dietter]
  • A. Sue Snyder
    Sue Snyder is an American public figure and advocate best known as the wife of former Michigan Governor Rick Snyder and for her involvement in charitable and civic initiatives in the state.
  • B. June Preisser
    June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
  • C. Suzanne Zimmer
    Suzanne Zimmer is the wife of renowned film composer Hans Zimmer and the mother of several of his children.
  • D. Marla Frumkin
    Marla Frumkin is an American voice actress best known for portraying Velma Dinkley in the Scooby-Doo animated franchise.
  • E. Vicki Sirotta
    Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
  • 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: Susie Dietter
Triple: [Lisa the Simpson, directedBy, Susie Dietter]
Generated description
Susie Dietter is an American animation director best known for her work on the television series "The Simpsons."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susie Dietter
Target entity description: Susie Dietter is an American animation director best known for her work on the television series "The Simpsons."
  • A. Sue Snyder
    Sue Snyder is an American public figure and advocate best known as the wife of former Michigan Governor Rick Snyder and for her involvement in charitable and civic initiatives in the state.
  • B. June Preisser
    June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
  • C. Suzanne Zimmer
    Suzanne Zimmer is the wife of renowned film composer Hans Zimmer and the mother of several of his children.
  • D. Marla Frumkin
    Marla Frumkin is an American voice actress best known for portraying Velma Dinkley in the Scooby-Doo animated franchise.
  • E. Vicki Sirotta
    Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6244ad188190b9d9db7914240410 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff90815b64819082715292f6088c74 completed May 9, 2026, 7:52 p.m.
NEDg Description generation batch_69ff93239ed881909954ccceb63f16fd completed May 9, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff93ed15ec8190b9361f7ad4c7e447 completed May 9, 2026, 8:07 p.m.
Created at: April 10, 2026, 1:08 a.m.