Triple

T8239549
Position Surface form Disambiguated ID Type / Status
Subject Lúcia Moniz E192499 entity
Predicate familyName P18 FINISHED
Object Moniz
Moniz is a Portuguese surname borne by various notable figures in Portugal’s cultural and public life.
 E720962 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: Moniz | Statement: [Lúcia Moniz, familyName, Moniz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moniz
Context triple: [Lúcia Moniz, familyName, Moniz]
  • A. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • B. Menke
    Menke is a surname most notably associated with Sally Menke, the acclaimed American film editor known for her long-time collaboration with director Quentin Tarantino.
  • C. Mandegusu
    Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
  • D. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • E. Katzin
    Katzin is the family surname of American actor and comedian Stubby Kaye, known for his roles in mid-20th-century stage and film musicals.
  • 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: Moniz
Triple: [Lúcia Moniz, familyName, Moniz]
Generated description
Moniz is a Portuguese surname borne by various notable figures in Portugal’s cultural and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moniz
Target entity description: Moniz is a Portuguese surname borne by various notable figures in Portugal’s cultural and public life.
  • A. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • B. Menke
    Menke is a surname most notably associated with Sally Menke, the acclaimed American film editor known for her long-time collaboration with director Quentin Tarantino.
  • C. Mandegusu
    Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
  • D. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • E. Katzin
    Katzin is the family surname of American actor and comedian Stubby Kaye, known for his roles in mid-20th-century stage and film musicals.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783cce5c8190bf116704d2923ade completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd350f57d48190ae2f24d136bb3eee completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a47f3c81909491e9b0316c32f0 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ecc8d68819099932b1ecefc0d36 completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:47 p.m.