Triple

T4757557
Position Surface form Disambiguated ID Type / Status
Subject Latinus E105624 entity
Predicate mother P120 FINISHED
Object Marica
Marica is a figure in Roman mythology, often associated with the Latin king Latinus as his mother and sometimes linked to a local water or nymph deity.
 E468399 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: Marica | Statement: [Latinus, mother, Marica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marica
Context triple: [Latinus, mother, Marica]
  • A. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • B. Graziella
    Graziella is a feminine given name of Italian origin, often associated with grace and elegance.
  • C. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • D. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • E. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • 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: Marica
Triple: [Latinus, mother, Marica]
Generated description
Marica is a figure in Roman mythology, often associated with the Latin king Latinus as his mother and sometimes linked to a local water or nymph deity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marica
Target entity description: Marica is a figure in Roman mythology, often associated with the Latin king Latinus as his mother and sometimes linked to a local water or nymph deity.
  • A. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • B. Graziella
    Graziella is a feminine given name of Italian origin, often associated with grace and elegance.
  • C. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • D. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • E. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ec16a0819089836e4388b555f6 completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a72ba908190ad9b423aea2a22b8 completed March 21, 2026, 6:28 a.m.
NEDg Description generation batch_69be3e760ddc8190831956fc75c9a8e9 completed March 21, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69be3edc5c008190b3a32df15abed8be completed March 21, 2026, 6:46 a.m.
Created at: March 20, 2026, 1:20 p.m.