Triple

T9480020
Position Surface form Disambiguated ID Type / Status
Subject Conrad E228611 entity
Predicate hasVariant P455 FINISHED
Object Conrado
Conrado is a given name, primarily used in Spanish and Portuguese-speaking countries, that corresponds to the name Conrad.
E802447 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: Conrado | Statement: [Conrad, hasVariant, Conrado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrado
Context triple: [Conrad, hasVariant, Conrado]
  • A. Benito Tiamzon
    Benito Tiamzon was a prominent Filipino communist leader and revolutionary, long regarded as a key figure in directing the Communist Party of the Philippines and its armed struggle.
  • B. Adelino
    Adelino is a masculine given name of Latin origin, commonly used in Portuguese- and Spanish-speaking countries.
  • C. Humberto
    Humberto is a masculine given name of Spanish and Portuguese origin, commonly used in Iberian and Latin American countries.
  • D. Norberto
    Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
  • E. Elpidio
    Elpidio is a masculine given name most notably borne by Elpidio Quirino, the sixth President of the Philippines.
  • 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: Conrado
Triple: [Conrad, hasVariant, Conrado]
Generated description
Conrado is a given name, primarily used in Spanish and Portuguese-speaking countries, that corresponds to the name Conrad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Conrado
Target entity description: Conrado is a given name, primarily used in Spanish and Portuguese-speaking countries, that corresponds to the name Conrad.
  • A. Benito Tiamzon
    Benito Tiamzon was a prominent Filipino communist leader and revolutionary, long regarded as a key figure in directing the Communist Party of the Philippines and its armed struggle.
  • B. Adelino
    Adelino is a masculine given name of Latin origin, commonly used in Portuguese- and Spanish-speaking countries.
  • C. Humberto
    Humberto is a masculine given name of Spanish and Portuguese origin, commonly used in Iberian and Latin American countries.
  • D. Norberto
    Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
  • E. Elpidio
    Elpidio is a masculine given name most notably borne by Elpidio Quirino, the sixth President of the Philippines.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd8016813881908dafc026779c89c4 completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cf7526c8190b96693bdc13743d5 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d12ed9240c8190bd206a0d2263e249 completed April 4, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69d12f870d2881909b0b50adfd2ba13b completed April 4, 2026, 3:34 p.m.
Created at: March 30, 2026, 7:54 p.m.