Triple

T2406054
Position Surface form Disambiguated ID Type / Status
Subject Melissa Leo E50278 entity
Predicate givenName P17 FINISHED
Object Melissa
Melissa is a feminine given name commonly used in English-speaking countries, derived from the Greek word for "honeybee."
 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: Melissa | Statement: [Melissa Leo, givenName, Melissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Melissa
Context triple: [Melissa Leo, givenName, 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. Melinda
    Melinda is a young, impressionable girl in the play "Inherit the Wind," serving as a minor character who reflects the town’s attitudes during the famous trial.
  • D. Melinda
    Melinda is the first name of Melinda French Gates, an American philanthropist and co-founder of the Bill & Melinda Gates Foundation.
  • E. Molly
    Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
  • 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: Melissa
Triple: [Melissa Leo, givenName, Melissa]
Generated description
Melissa is a feminine given name commonly used in English-speaking countries, derived from the Greek word for "honeybee."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Melissa
Target entity description: Melissa is a feminine given name commonly used in English-speaking countries, derived from the Greek word for "honeybee."
  • A. Melissa
    "Melissa" is a classic, melodic Southern rock ballad by the Allman Brothers Band, known for its gentle acoustic sound and reflective lyrics.
  • B. Melissa
    Melissa is a small but rapidly growing suburban city in North Texas, located within the Dallas–Fort Worth metropolitan area.
  • C. Melinda
    Melinda is a young, impressionable girl in the play "Inherit the Wind," serving as a minor character who reflects the town’s attitudes during the famous trial.
  • D. Melinda
    Melinda is the first name of Melinda French Gates, an American philanthropist and co-founder of the Bill & Melinda Gates Foundation.
  • E. Molly
    Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fb78408190b99fa8b4dfaaa75d completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e95334819093923b0c36b968f2 completed March 9, 2026, 11:50 a.m.
NEDg Description generation batch_69aeb7b2d8f88190a12ce00000735fd6 completed March 9, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69aeb827504c8190bd458e79193d51cc completed March 9, 2026, 12:08 p.m.
Created at: March 4, 2026, 7:58 p.m.