Triple

T8472691
Position Surface form Disambiguated ID Type / Status
Subject Amiga Corporation E200315 entity
Predicate originalName P65 FINISHED
Object Hi-Toro
Hi-Toro was the original company name of the firm that developed the Amiga computer before it became known as Amiga Corporation.
 E736628 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: Hi-Toro | Statement: [Amiga Corporation, originalName, Hi-Toro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hi-Toro
Context triple: [Amiga Corporation, originalName, Hi-Toro]
  • A. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • B. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • C. Toro
    Toro is a historic town in the province of Zamora, Castile and León, Spain, known for its medieval architecture and wine production.
  • D. Toro
    Toro is a Marvel Comics supervillain and member of the Invaders, often depicted as a powerful, bull-like adversary.
  • E. Toro
    Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
  • 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: Hi-Toro
Triple: [Amiga Corporation, originalName, Hi-Toro]
Generated description
Hi-Toro was the original company name of the firm that developed the Amiga computer before it became known as Amiga Corporation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hi-Toro
Target entity description: Hi-Toro was the original company name of the firm that developed the Amiga computer before it became known as Amiga Corporation.
  • A. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • B. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • C. Toro
    Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
  • D. Toro
    Toro is a Marvel Comics supervillain and member of the Invaders, often depicted as a powerful, bull-like adversary.
  • E. Toro
    Toro is a historic town in the province of Zamora, Castile and León, Spain, known for its medieval architecture and wine production.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f4fbf481909e4fd7c078b27477 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39fc9bf481908e37919b13465d18 completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3b1e188c8190ad894478141f6501 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3bfd00948190b3956be3f8c5d547 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:11 p.m.