Triple

T12484392
Position Surface form Disambiguated ID Type / Status
Subject Smoke, Lilies and Jade E298392 entity
Predicate featuresCharacter P626 FINISHED
Object Melva
Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
 E1010941 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: Melva | Statement: [Smoke, Lilies and Jade, featuresCharacter, Melva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Melva
Context triple: [Smoke, Lilies and Jade, featuresCharacter, Melva]
  • A. Gladys
    Gladys is a feminine given name of English origin that was especially popular in the late 19th and early 20th centuries.
  • B. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • C. Marjorie
    "Marjorie" is a reflective, emotionally intimate song by Taylor Swift from her album *Evermore*, written as a tribute to her late grandmother.
  • D. Emogene
    Emogene is a feminine given name of English origin, often considered a variant of Imogene.
  • E. Lucille
    "Lucille" is a 1957 rock and roll song by Little Richard, celebrated for its driving rhythm, powerful vocals, and lasting influence on popular music.
  • 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: Melva
Triple: [Smoke, Lilies and Jade, featuresCharacter, Melva]
Generated description
Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Melva
Target entity description: Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
  • A. Gladys
    Gladys is a feminine given name of English origin that was especially popular in the late 19th and early 20th centuries.
  • B. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • C. Marjorie
    "Marjorie" is a reflective, emotionally intimate song by Taylor Swift from her album *Evermore*, written as a tribute to her late grandmother.
  • D. Emogene
    Emogene is a feminine given name of English origin, often considered a variant of Imogene.
  • E. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94ddf0b6c8190aff4fe267d8f6efe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af43f2188190b0e78f22dc6ba3f8 completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b0653ef88190ad0e3a48675ecdcc completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:56 p.m.