Triple

T10929816
Position Surface form Disambiguated ID Type / Status
Subject Malissa Smith E258170 entity
Predicate givenName P17 FINISHED
Object Malissa
Malissa is a feminine given name, often considered a variant of Melissa.
E264271 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: Malissa | Statement: [Malissa Smith, givenName, Malissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malissa
Context triple: [Malissa Smith, givenName, Malissa]
  • A. Melissa
    Melissa is a small but rapidly growing suburban city in North Texas, located within the Dallas–Fort Worth metropolitan area.
  • B. Melissa
    "Melissa" is a classic, melodic Southern rock ballad by the Allman Brothers Band, known for its gentle acoustic sound and reflective lyrics.
  • C. Melissa
    Melissa is a feminine given name commonly used in English-speaking countries, derived from the Greek word for "honeybee."
  • D. Marissa
    Marissa is a feminine given name commonly used in English-speaking countries.
  • E. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • 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: Malissa
Triple: [Malissa Smith, givenName, Malissa]
Generated description
Malissa is a feminine given name, often considered a variant of Melissa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malissa
Target entity description: Malissa is a feminine given name, often considered a variant of Melissa.
  • A. Melissa
    Melissa is a small but rapidly growing suburban city in North Texas, located within the Dallas–Fort Worth metropolitan area.
  • B. Melissa
    "Melissa" is a classic, melodic Southern rock ballad by the Allman Brothers Band, known for its gentle acoustic sound and reflective lyrics.
  • C. Melissa chosen
    Melissa is a feminine given name commonly used in English-speaking countries, derived from the Greek word for "honeybee."
  • D. Marissa
    Marissa is a feminine given name commonly used in English-speaking countries.
  • E. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • F. None of above.

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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709eb0ec819093f7d3f99097bbe4 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2175711d4819088f93bdf64ba4d3f completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21e54e22881908726f088643edfd2 completed April 17, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69e21f1134d0819082fcc735da61d347 completed April 17, 2026, 11:52 a.m.
Created at: April 8, 2026, 9:22 p.m.