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.