Triple

T6270975
Position Surface form Disambiguated ID Type / Status
Subject Who Asked You? E140532 entity
Predicate featuresCharacter P626 FINISHED
Object Trinetta
Trinetta is a character from the animated television series "Who Asked You?," known for her distinctive personality and role in the show's comedic narrative.
 E579166 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: Trinetta | Statement: [Who Asked You?, featuresCharacter, Trinetta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trinetta
Context triple: [Who Asked You?, featuresCharacter, Trinetta]
  • A. Merrillia
    Merrillia is a small genus of flowering plants in the citrus family Rutaceae, known for its tropical tree species.
  • B. Terina
    Terina was an ancient Greek-founded city in southern Italy’s Bruttium region, known as a significant coastal and commercial center in Magna Graecia.
  • C. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • D. Arida
    Arida is a city in Japan known for its agricultural production, particularly high-quality citrus fruits, within Wakayama Prefecture.
  • E. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • 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: Trinetta
Triple: [Who Asked You?, featuresCharacter, Trinetta]
Generated description
Trinetta is a character from the animated television series "Who Asked You?," known for her distinctive personality and role in the show's comedic narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trinetta
Target entity description: Trinetta is a character from the animated television series "Who Asked You?," known for her distinctive personality and role in the show's comedic narrative.
  • A. Merrillia
    Merrillia is a small genus of flowering plants in the citrus family Rutaceae, known for its tropical tree species.
  • B. Terina
    Terina was an ancient Greek-founded city in southern Italy’s Bruttium region, known as a significant coastal and commercial center in Magna Graecia.
  • C. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • D. Arida
    Arida is a city in Japan known for its agricultural production, particularly high-quality citrus fruits, within Wakayama Prefecture.
  • E. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063bb340c8190ab81b249cefa91ca completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446629248190945f0f4f4a103bbd completed March 24, 2026, 7:59 a.m.
NEDg Description generation batch_69c246b507a08190ab5423c54e2b0eb5 completed March 24, 2026, 8:09 a.m.
NED2 Entity disambiguation (via description) batch_69c2471ce99c8190af2305937dfacc9c completed March 24, 2026, 8:11 a.m.
Created at: March 22, 2026, 4:25 p.m.