Triple

T2490652
Position Surface form Disambiguated ID Type / Status
Subject Lily E52031 entity
Predicate hasVariant P455 FINISHED
Object Lilia
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
E279277 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: Lilia | Statement: [Lily, hasVariant, Lilia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilia
Context triple: [Lily, hasVariant, Lilia]
  • A. Lillita
    Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
  • B. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • C. 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.
  • D. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • E. Lizella
    Lizella is an unincorporated community in central Georgia, United States, located near the city of Macon.
  • 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: Lilia
Triple: [Lily, hasVariant, Lilia]
Generated description
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lilia
Target entity description: Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • A. Lillita
    Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
  • B. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • C. 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.
  • D. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • E. Lizella
    Lizella is an unincorporated community in central Georgia, United States, located near the city of Macon.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd18fe32081909580c6272a6013c5 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af654aab208190adbc5fb6bd500106 completed March 10, 2026, 12:26 a.m.
NEDg Description generation batch_69af67db8a048190ab9354fdff3f54b6 completed March 10, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69af689f7c4c8190a26270c57da71146 completed March 10, 2026, 12:41 a.m.
Created at: March 6, 2026, 9:45 p.m.