Triple

T7460042
Position Surface form Disambiguated ID Type / Status
Subject Looney Tunes Movie Town E176221 entity
Predicate featuresCharacter P626 FINISHED
Object Taz
Taz is the Tasmanian Devil, a whirlwind-spinning, ferocious yet comically dim-witted cartoon character from the Looney Tunes franchise.
 E600072 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: Taz | Statement: [Looney Tunes Movie Town, featuresCharacter, Taz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taz
Context triple: [Looney Tunes Movie Town, featuresCharacter, Taz]
  • A. Taz
    Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
  • B. Taz
    Taz is a music producer known for contributing to Lil Wayne’s acclaimed hip-hop album "Tha Carter II."
  • C. Taz
    Taz is a retired professional wrestler and commentator best known for his intense, suplex-heavy style in ECW and WWE.
  • D. Tony the Landshark
    Tony the Landshark is the costumed landshark character that serves as the official athletic mascot of the University of Mississippi (Ole Miss).
  • E. Wanz
    Wanz is an American singer best known for providing the soulful hook on Macklemore & Ryan Lewis's hit single "Thrift Shop."
  • 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: Taz
Triple: [Looney Tunes Movie Town, featuresCharacter, Taz]
Generated description
Taz is the Tasmanian Devil, a whirlwind-spinning, ferocious yet comically dim-witted cartoon character from the Looney Tunes franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taz
Target entity description: Taz is the Tasmanian Devil, a whirlwind-spinning, ferocious yet comically dim-witted cartoon character from the Looney Tunes franchise.
  • A. Taz
    Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
  • B. Taz
    Taz is a music producer known for contributing to Lil Wayne’s acclaimed hip-hop album "Tha Carter II."
  • C. Taz chosen
    Taz is a retired professional wrestler and commentator best known for his intense, suplex-heavy style in ECW and WWE.
  • D. Tony the Landshark
    Tony the Landshark is the costumed landshark character that serves as the official athletic mascot of the University of Mississippi (Ole Miss).
  • E. Wanz
    Wanz is an American singer best known for providing the soulful hook on Macklemore & Ryan Lewis's hit single "Thrift Shop."
  • F. None of above.

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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d525708190b7838e07ac2fbe1f completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8345f629c8190889081e18bdfe6f7 completed March 28, 2026, 8:04 p.m.
NEDg Description generation batch_69c835279b108190b32415c2e3d92c6d completed March 28, 2026, 8:08 p.m.
NED2 Entity disambiguation (via description) batch_69c835d2474081908ec1e93c1ced0b1f completed March 28, 2026, 8:10 p.m.
Created at: March 27, 2026, 3:38 p.m.