Triple

T7950526
Position Surface form Disambiguated ID Type / Status
Subject Toys E184601 entity
Predicate hasCharacter P2308 FINISHED
Object Alsatia Zevo
Alsatia Zevo is a quirky, eccentric character from the film "Toys," known for her childlike demeanor and offbeat, whimsical personality.
E701801 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: Alsatia Zevo | Statement: [Toys, hasCharacter, Alsatia Zevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alsatia Zevo
Context triple: [Toys, hasCharacter, Alsatia Zevo]
  • A. Mobilis Vaud
    Mobilis Vaud is the integrated public transport fare network for the canton of Vaud in Switzerland, covering trains, buses, and other regional transit services under a unified ticketing system.
  • B. Bernmobil
    Bernmobil is the public transport company responsible for operating trams, buses, and other urban transit services in the Swiss city of Bern.
  • C. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • D. Renault Alaskan
    The Renault Alaskan is a mid-size pickup truck developed by Renault, based heavily on the Nissan Navara platform and aimed at both commercial and lifestyle markets.
  • E. Traton
    Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
  • 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: Alsatia Zevo
Triple: [Toys, hasCharacter, Alsatia Zevo]
Generated description
Alsatia Zevo is a quirky, eccentric character from the film "Toys," known for her childlike demeanor and offbeat, whimsical personality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alsatia Zevo
Target entity description: Alsatia Zevo is a quirky, eccentric character from the film "Toys," known for her childlike demeanor and offbeat, whimsical personality.
  • A. Mobilis Vaud
    Mobilis Vaud is the integrated public transport fare network for the canton of Vaud in Switzerland, covering trains, buses, and other regional transit services under a unified ticketing system.
  • B. Bernmobil
    Bernmobil is the public transport company responsible for operating trams, buses, and other urban transit services in the Swiss city of Bern.
  • C. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • D. Renault Alaskan
    The Renault Alaskan is a mid-size pickup truck developed by Renault, based heavily on the Nissan Navara platform and aimed at both commercial and lifestyle markets.
  • E. Traton
    Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5b7450819091e4e6f21e9d832d completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe04872ec819090819899ed8dfc80 completed March 31, 2026, 2:55 p.m.
NEDg Description generation batch_69cbe43970008190974c4416b0f12532 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc0a474334819085912ecadd84f667 completed March 31, 2026, 5:54 p.m.
Created at: March 30, 2026, 5:10 p.m.