Triple

T3159719
Position Surface form Disambiguated ID Type / Status
Subject Supreme Council of the Inquisition E66072 entity
Predicate alsoKnownAs P39 FINISHED
Object Suprema
Suprema was the powerful central governing body that oversaw and directed the activities of the Spanish Inquisition.
 E332112 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: Suprema | Statement: [Supreme Council of the Inquisition, alsoKnownAs, Suprema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suprema
Context triple: [Supreme Council of the Inquisition, alsoKnownAs, Suprema]
  • A. Corte
    Corte is a historic inland town in central Corsica known for its dramatic citadel and role as a former capital of the island.
  • B. Máxima
    Máxima is the Argentine-born Queen consort of the Netherlands, married to King Willem-Alexander and known for her work in finance, social inclusion, and microcredit initiatives.
  • C. Soberano
    Soberano is a popular nickname for São Paulo FC, highlighting the club’s historic dominance and prestige in Brazilian football.
  • D. Kita
    Kita is one of Tokyo’s 23 special wards, located in the northern part of the city and known for its mix of residential neighborhoods, parks, and commercial areas.
  • E. Premji
    Premji is an Indian surname most prominently associated with billionaire philanthropist and Wipro chairman Azim Premji.
  • 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: Suprema
Triple: [Supreme Council of the Inquisition, alsoKnownAs, Suprema]
Generated description
Suprema was the powerful central governing body that oversaw and directed the activities of the Spanish Inquisition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suprema
Target entity description: Suprema was the powerful central governing body that oversaw and directed the activities of the Spanish Inquisition.
  • A. Corte
    Corte is a historic inland town in central Corsica known for its dramatic citadel and role as a former capital of the island.
  • B. Máxima
    Máxima is the Argentine-born Queen consort of the Netherlands, married to King Willem-Alexander and known for her work in finance, social inclusion, and microcredit initiatives.
  • C. Soberano
    Soberano is a popular nickname for São Paulo FC, highlighting the club’s historic dominance and prestige in Brazilian football.
  • D. Kita
    Kita is one of Tokyo’s 23 special wards, located in the northern part of the city and known for its mix of residential neighborhoods, parks, and commercial areas.
  • E. Premji
    Premji is an Indian surname most prominently associated with billionaire philanthropist and Wipro chairman Azim Premji.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61606bc8190a8ad760d680924eb completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250d2b8c81908585d9563f9b4d16 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225df6978819096c275e266263806 completed March 12, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2263e62a88190bf260cfcb00a86ea completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.