Triple

T8517995
Position Surface form Disambiguated ID Type / Status
Subject Malena E201623 entity
Predicate relatedName P3889 FINISHED
Object Malina
Malina is a feminine given name used in various cultures, often associated with meanings like “raspberry” in Slavic languages or linked to mythological and nature-related themes.
 E739563 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: Malina | Statement: [Malena, relatedName, Malina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malina
Context triple: [Malena, relatedName, Malina]
  • A. Melika
    Melika is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
  • B. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • C. Melinta
    Melinta is a small coastal village on the Greek island of Lesbos, known for its quiet beaches and traditional Aegean character.
  • D. Marale
    Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
  • E. Maala
    Maala is a town located within Bouira Province in northern Algeria.
  • 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: Malina
Triple: [Malena, relatedName, Malina]
Generated description
Malina is a feminine given name used in various cultures, often associated with meanings like “raspberry” in Slavic languages or linked to mythological and nature-related themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malina
Target entity description: Malina is a feminine given name used in various cultures, often associated with meanings like “raspberry” in Slavic languages or linked to mythological and nature-related themes.
  • A. Melika
    Melika is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
  • B. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • C. Melinta
    Melinta is a small coastal village on the Greek island of Lesbos, known for its quiet beaches and traditional Aegean character.
  • D. Marale
    Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
  • E. Maala
    Maala is a town located within Bouira Province in northern Algeria.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe626787c819087e72dd76b2d9310 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e6c93d081909da2a748b0fa6fd3 completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffc30e08190b71e941d63d56015 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce54dc664081908ff63ec7f92834d7 completed April 2, 2026, 11:37 a.m.
Created at: March 30, 2026, 6:15 p.m.