Triple

T12234044
Position Surface form Disambiguated ID Type / Status
Subject Bad English E291546 entity
Predicate notableWork P4 FINISHED
Object Forget Me Not
"Forget Me Not" is a song by the English rock band Bad English, known for its melodic rock style and emotive lyrics.
 E532980 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 Not | Statement: [Bad English, notableWork, Forget Me Not]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Forget Me Not
Context triple: [Bad English, notableWork, Forget Me Not]
  • A. Forget Me Not
    "Forget Me Not" is a song featured on the album *One Heart*.
  • B. 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."
  • C. Snowdrop
    Snowdrop is a Mersey Ferry passenger vessel that operates on the River Mersey, carrying commuters and tourists between Liverpool and the Wirral.
  • D. Lillies of the Valley
    "Lillies of the Valley" is a song by David Byrne featured on his 1994 self-titled solo album, blending art rock and worldbeat influences.
  • E. 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.
  • 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 Not
Triple: [Bad English, notableWork, Forget Me Not]
Generated description
"Forget Me Not" is a song by the English rock band Bad English, known for its melodic rock style and emotive lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Forget Me Not
Target entity description: "Forget Me Not" is a song by the English rock band Bad English, known for its melodic rock style and emotive lyrics.
  • A. Forget Me Not chosen
    "Forget Me Not" is a song featured on the album *One Heart*.
  • B. 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."
  • C. Snowdrop
    Snowdrop is a Mersey Ferry passenger vessel that operates on the River Mersey, carrying commuters and tourists between Liverpool and the Wirral.
  • D. Lillies of the Valley
    "Lillies of the Valley" is a song by David Byrne featured on his 1994 self-titled solo album, blending art rock and worldbeat influences.
  • E. 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.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca5a06481908c7c6b715b9f6713 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aaf7b348190865a6a1b6de51753 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe8c2ec8190af7c69dd17ea75fe completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:51 p.m.