Triple

T32293970
Position Surface form Disambiguated ID Type / Status
Subject Tuca & Bertie E825037 entity
Predicate leadCharacterPersonalityTrait P37384 FINISHED
Object Tuca is impulsive
Tuca is an impulsive, free-spirited toucan who co-stars in the animated series "Tuca & Bertie," often driving the show's chaotic and comedic situations.
 E1999613 NE FINISHED

How this triple was built (3 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: Tuca is impulsive | Statement: [Tuca & Bertie, leadCharacterPersonalityTrait, Tuca is impulsive]
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: Tuca is impulsive
Triple: [Tuca & Bertie, leadCharacterPersonalityTrait, Tuca is impulsive]
Generated description
Tuca is an impulsive, free-spirited toucan who co-stars in the animated series "Tuca & Bertie," often driving the show's chaotic and comedic situations.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: leadCharacterPersonalityTrait
Context triple: [Tuca & Bertie, leadCharacterPersonalityTrait, Tuca is impulsive]
  • A. protagonistCharacteristic
    Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
  • B. associatedCharacterTrait chosen
    Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
  • C. leadCharacterBasedOn
    Indicates that a lead character is derived from, inspired by, or adapted from a particular source entity (such as a real person, another character, or existing work).
  • D. childCharacterTrait
    Indicates that a child possesses or exhibits a particular character trait.
  • E. dramaticTrait
    Indicates that an entity possesses a tendency to behave or express itself in an exaggerated, theatrical, or emotionally intense manner.
  • F. None of above.

Provenance (6 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_69f349101b788190b4f14884dc7d1ed2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bd38959c8190ab96268f1c8016e7 completed May 3, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46f255508190bbd0afce722ffb6e completed June 15, 2026, 12:27 a.m.
NEDg Description generation batch_6a2f4a3f26748190b975df6e97995182 completed June 15, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a2f4b1ceb948190b1c340b2fa3ed474 completed June 15, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69f6b632cf788190a3d0c08cd026b84b completed May 3, 2026, 2:42 a.m.
Created at: May 1, 2026, 12:44 a.m.