Triple

T2521233
Position Surface form Disambiguated ID Type / Status
Subject Beavis and Butt-Head E55526 entity
Predicate hasSpinOff P7226 FINISHED
Object Daria
Daria is an animated television series centered on the intelligent, sarcastic teenager Daria Morgendorffer as she navigates high school life with deadpan wit and social commentary.
 E275651 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: Daria | Statement: [Beavis and Butt-Head, hasSpinOff, Daria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daria
Context triple: [Beavis and Butt-Head, hasSpinOff, Daria]
  • A. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • B. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • C. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • D. Valerie
    "Valerie" is a 1957 American Western film starring Sterling Hayden, loosely inspired by the Rashomon-style multiple-perspective narrative.
  • E. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • 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: Daria
Triple: [Beavis and Butt-Head, hasSpinOff, Daria]
Generated description
Daria is an animated television series centered on the intelligent, sarcastic teenager Daria Morgendorffer as she navigates high school life with deadpan wit and social commentary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daria
Target entity description: Daria is an animated television series centered on the intelligent, sarcastic teenager Daria Morgendorffer as she navigates high school life with deadpan wit and social commentary.
  • A. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • B. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • C. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • D. Valerie
    "Valerie" is a 1957 American Western film starring Sterling Hayden, loosely inspired by the Rashomon-style multiple-perspective narrative.
  • E. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2367b6c819094239dfd12399643 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2ba64390819083ea639eb4c1a1bd completed March 9, 2026, 8:20 p.m.
NEDg Description generation batch_69af516e6e888190bb5eca3f6b134dcd completed March 9, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69af5223fa948190a7db252c9fc367a5 completed March 9, 2026, 11:05 p.m.
Created at: March 6, 2026, 9:46 p.m.