Triple

T15843299
Position Surface form Disambiguated ID Type / Status
Subject Tiago Monteiro E384150 entity
Predicate familyName P18 FINISHED
Object Monteiro
Monteiro is a Portuguese surname commonly borne by individuals of Lusophone origin.
E1179761 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: Monteiro | Statement: [Tiago Monteiro, familyName, Monteiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monteiro
Context triple: [Tiago Monteiro, familyName, Monteiro]
  • A. Barreto
    Barreto is a Portuguese-origin surname common in Brazil and other Lusophone countries, borne by numerous notable figures in fields such as film, literature, and politics.
  • B. Osorio
    Osorio is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
  • C. Cardoso
    Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
  • D. Werdenberg
    Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
  • E. Calvão
    Calvão is a civil parish located in the municipality of Vagos in the Aveiro District of Portugal.
  • 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: Monteiro
Triple: [Tiago Monteiro, familyName, Monteiro]
Generated description
Monteiro is a Portuguese surname commonly borne by individuals of Lusophone origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Monteiro
Target entity description: Monteiro is a Portuguese surname commonly borne by individuals of Lusophone origin.
  • A. Barreto
    Barreto is a Portuguese-origin surname common in Brazil and other Lusophone countries, borne by numerous notable figures in fields such as film, literature, and politics.
  • B. Osorio
    Osorio is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
  • C. Cardoso
    Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
  • D. Werdenberg
    Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
  • E. Calvão
    Calvão is a civil parish located in the municipality of Vagos in the Aveiro District of Portugal.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142ea3da08190a9d2d5917f84907c completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa1412c9481909808473e14058033 completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:50 a.m.