Triple

T19576550
Position Surface form Disambiguated ID Type / Status
Subject Helder Costa E489870 entity
Predicate givenName P17 FINISHED
Object Hélder
Hélder is a Portuguese given name commonly used for men, notably borne by several professional footballers and public figures.
 E1382816 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: Hélder | Statement: [Helder Costa, givenName, Hélder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hélder
Context triple: [Helder Costa, givenName, Hélder]
  • A. Diogo
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • B. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • C. Gonçalo
    Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males in Portuguese-speaking countries.
  • D. Vítor
    Vítor is a Portuguese given name commonly used for men, equivalent to the English name Victor.
  • E. Damião
    Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
  • 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: Hélder
Triple: [Helder Costa, givenName, Hélder]
Generated description
Hélder is a Portuguese given name commonly used for men, notably borne by several professional footballers and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hélder
Target entity description: Hélder is a Portuguese given name commonly used for men, notably borne by several professional footballers and public figures.
  • A. Diogo
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • B. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • C. Gonçalo
    Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males in Portuguese-speaking countries.
  • D. Vítor
    Vítor is a Portuguese given name commonly used for men, equivalent to the English name Victor.
  • E. Damião
    Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64024c5b08190bbff6df633857874 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07578feebc819097d233618e09d1eb completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a075866def08190b7b4df8c37ed07c1 completed May 15, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_6a0758c2a5f08190a963a7bab2039e73 completed May 15, 2026, 5:32 p.m.
Created at: April 10, 2026, 1:42 p.m.