Triple

T16413628
Position Surface form Disambiguated ID Type / Status
Subject Lumi Cavazos E398626 entity
Predicate givenName P17 FINISHED
Object Lumi
Lumi is a feminine given name used in various cultures, often associated with meanings related to light or snow.
 E1211301 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: Lumi | Statement: [Lumi Cavazos, givenName, Lumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lumi
Context triple: [Lumi Cavazos, givenName, Lumi]
  • A. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • B. Luma
    Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
  • C. Luz
    Luz was the nickname of Carl Ludwig Long, a German long jumper best known for his sportsmanship toward Jesse Owens at the 1936 Berlin Olympics.
  • D. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • E. Luz
    Luz is a major railway and metro hub in São Paulo, Brazil, serving as a key interchange point for multiple urban transit lines.
  • 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: Lumi
Triple: [Lumi Cavazos, givenName, Lumi]
Generated description
Lumi is a feminine given name used in various cultures, often associated with meanings related to light or snow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lumi
Target entity description: Lumi is a feminine given name used in various cultures, often associated with meanings related to light or snow.
  • A. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • B. Luma
    Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
  • C. Luz
    Luz was the nickname of Carl Ludwig Long, a German long jumper best known for his sportsmanship toward Jesse Owens at the 1936 Berlin Olympics.
  • D. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • E. Luz
    Luz is a major railway and metro hub in São Paulo, Brazil, serving as a key interchange point for multiple urban transit lines.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3287683f48190975a016e6333882c completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c68b7408190a9612a57f146dc30 completed May 10, 2026, 8:06 a.m.
NEDg Description generation batch_6a003db7b0308190bc4b8065cf2c01ec completed May 10, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_6a003e86a9f48190ae39ec170c776604 completed May 10, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:09 a.m.