Triple

T10012789
Position Surface form Disambiguated ID Type / Status
Subject Patrice Rushen E199413 entity
Predicate notableWork P4 FINISHED
Object Forget Me Nots
"Forget Me Nots" is a 1982 R&B and funk song by Patrice Rushen, best known for its catchy bassline and for inspiring the hook of Will Smith's "Men in Black."
 E834827 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: Forget Me Nots | Statement: [Patrice Rushen, notableWork, Forget Me Nots]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Forget Me Nots
Context triple: [Patrice Rushen, notableWork, Forget Me Nots]
  • A. Forget Me Not
    "Forget Me Not" is a song featured on the album *One Heart*.
  • B. Violets
    Violets are the athletic teams representing New York University in intercollegiate sports.
  • C. Lilacs
    "Lilacs" is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that reflects her characteristic focus on intimate emotional experiences and Creole life.
  • D. The Lily of the Valley
    The Lily of the Valley is an English title of Honoré de Balzac’s novel "Le Lys dans la vallée," a classic work of French literature exploring unrequited love and social convention.
  • E. Snowdrop
    Snowdrop is a Mersey Ferry passenger vessel that operates on the River Mersey, carrying commuters and tourists between Liverpool and the Wirral.
  • 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: Forget Me Nots
Triple: [Patrice Rushen, notableWork, Forget Me Nots]
Generated description
"Forget Me Nots" is a 1982 R&B and funk song by Patrice Rushen, best known for its catchy bassline and for inspiring the hook of Will Smith's "Men in Black."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Forget Me Nots
Target entity description: "Forget Me Nots" is a 1982 R&B and funk song by Patrice Rushen, best known for its catchy bassline and for inspiring the hook of Will Smith's "Men in Black."
  • A. Forget Me Not
    "Forget Me Not" is a song featured on the album *One Heart*.
  • B. Violets
    Violets are the athletic teams representing New York University in intercollegiate sports.
  • C. Lilacs
    "Lilacs" is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that reflects her characteristic focus on intimate emotional experiences and Creole life.
  • D. The Lily of the Valley
    The Lily of the Valley is an English title of Honoré de Balzac’s novel "Le Lys dans la vallée," a classic work of French literature exploring unrequited love and social convention.
  • E. Snowdrop
    Snowdrop is a Mersey Ferry passenger vessel that operates on the River Mersey, carrying commuters and tourists between Liverpool and the Wirral.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd3cf5b881908f5318e55bdd22b6 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a858c848190887a035a9ac04c5e completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26b6dfac081908e85d2b1585217b4 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26c47d25081908818f18f6b0881b2 completed April 5, 2026, 2:06 p.m.
Created at: March 30, 2026, 8:52 p.m.