Triple

T2046762
Position Surface form Disambiguated ID Type / Status
Subject Heinrich Mann E45470 entity
Predicate givenName P17 FINISHED
Object Luiz
Luiz is a given name associated with the German novelist Heinrich Mann.
E228174 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: Luiz | Statement: [Heinrich Mann, givenName, Luiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luiz
Context triple: [Heinrich Mann, givenName, Luiz]
  • A. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • B. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • C. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • D. Carlos Leão
    Carlos Leão was a Brazilian artist and architect associated with modernist movements in Brazil.
  • E. Gustavo
    Gustavo is a masculine given name commonly used in Spanish- and Portuguese-speaking countries, equivalent to the name Gustaf.
  • 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: Luiz
Triple: [Heinrich Mann, givenName, Luiz]
Generated description
Luiz is a given name associated with the German novelist Heinrich Mann.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luiz
Target entity description: Luiz is a given name associated with the German novelist Heinrich Mann.
  • A. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • B. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • C. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • D. Carlos Leão
    Carlos Leão was a Brazilian artist and architect associated with modernist movements in Brazil.
  • E. Gustavo
    Gustavo is a masculine given name commonly used in Spanish- and Portuguese-speaking countries, equivalent to the name Gustaf.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb973a51881908c2c1e633daa3cb4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2003e9488190b54ff042c91d4a62 completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae209544d881909438630ca5970d84 completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae210b7b888190a879effa9d1e6ac3 completed March 9, 2026, 1:23 a.m.
Created at: March 4, 2026, 7:39 p.m.