Triple

T12552469
Position Surface form Disambiguated ID Type / Status
Subject Henri Gaudier-Brzeska E300129 entity
Predicate notableWork P4 FINISHED
Object Toro
Toro is a modernist sculpture by Henri Gaudier-Brzeska that exemplifies his dynamic, abstract approach to representing animal forms.
 E989726 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: Toro | Statement: [Henri Gaudier-Brzeska, notableWork, Toro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toro
Context triple: [Henri Gaudier-Brzeska, notableWork, 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 a historic town in the province of Zamora, Castile and León, Spain, known for its medieval architecture and wine production.
  • C. Toro
    Toro is a Marvel Comics supervillain and member of the Invaders, often depicted as a powerful, bull-like adversary.
  • D. Toro
    Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
  • E. Toro
    Toro is a traditional kingdom and region in western Uganda, known for its rich cultural heritage and historical monarchy.
  • 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: Toro
Triple: [Henri Gaudier-Brzeska, notableWork, Toro]
Generated description
Toro is a modernist sculpture by Henri Gaudier-Brzeska that exemplifies his dynamic, abstract approach to representing animal forms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toro
Target entity description: Toro is a modernist sculpture by Henri Gaudier-Brzeska that exemplifies his dynamic, abstract approach to representing animal forms.
  • A. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • B. Toro
    Toro is a Marvel Comics supervillain and member of the Invaders, often depicted as a powerful, bull-like adversary.
  • C. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • D. Toro
    Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9548444d081908f00cea1ce7032c7 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65587524881908c933490bface976 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656f812bc8190a2a691285fc30e03 completed May 2, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69f657f1ced08190a588642c7fa5efdd completed May 2, 2026, 8 p.m.
Created at: April 8, 2026, 9:58 p.m.