Triple

T9327700
Position Surface form Disambiguated ID Type / Status
Subject Funny Face (1927 stage musical) E224433 entity
Predicate featuresSong P2152 FINISHED
Object Let's Kiss and Make Up
"Let's Kiss and Make Up" is a popular song by George and Ira Gershwin, best known for its inclusion in the musical comedy "Funny Face."
E792222 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: Let's Kiss and Make Up | Statement: [Funny Face (1927 stage musical), featuresSong, Let's Kiss and Make Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Let's Kiss and Make Up
Context triple: [Funny Face (1927 stage musical), featuresSong, Let's Kiss and Make Up]
  • A. Kiss and Make Up
    "Kiss and Make Up" is a song featured on the album "Under the Blue Moon."
  • B. Kiss Kiss
    Kiss Kiss is a darkly comic short story collection by Roald Dahl, featuring macabre twists and unsettling explorations of human nature.
  • C. Kiss Kiss
    "Kiss Kiss" is a 2007 R&B/hip-hop single by Chris Brown featuring T-Pain, known for its catchy hook, dance-focused production, and commercial success on the Billboard charts.
  • D. Break Up to Make Up
    "Break Up to Make Up" is a classic soul ballad, best known as a hit song by The Stylistics co-written by Linda Creed.
  • E. Kissed
    "Kissed" is a 1996 Canadian independent drama film, directed by Lynne Stopkewich and starring Molly Parker, that explores a young woman's fixation with death and necrophilia.
  • 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: Let's Kiss and Make Up
Triple: [Funny Face (1927 stage musical), featuresSong, Let's Kiss and Make Up]
Generated description
"Let's Kiss and Make Up" is a popular song by George and Ira Gershwin, best known for its inclusion in the musical comedy "Funny Face."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Let's Kiss and Make Up
Target entity description: "Let's Kiss and Make Up" is a popular song by George and Ira Gershwin, best known for its inclusion in the musical comedy "Funny Face."
  • A. Kiss and Make Up
    "Kiss and Make Up" is a song featured on the album "Under the Blue Moon."
  • B. Kiss Kiss
    Kiss Kiss is a darkly comic short story collection by Roald Dahl, featuring macabre twists and unsettling explorations of human nature.
  • C. Kiss Kiss
    "Kiss Kiss" is a 2007 R&B/hip-hop single by Chris Brown featuring T-Pain, known for its catchy hook, dance-focused production, and commercial success on the Billboard charts.
  • D. Break Up to Make Up
    "Break Up to Make Up" is a classic soul ballad, best known as a hit song by The Stylistics co-written by Linda Creed.
  • E. Kissed
    "Kissed" is a 1996 Canadian independent drama film, directed by Lynne Stopkewich and starring Molly Parker, that explores a young woman's fixation with death and necrophilia.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37aa78648190b786b50402b15569 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7e940d481909882dd920f0c6c1d completed April 4, 2026, 8:12 a.m.
NEDg Description generation batch_69d0c976a0308190ba66990fe0a3f33e completed April 4, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69d0ce28aaf48190a1e6b4040353c6b9 completed April 4, 2026, 8:39 a.m.
Created at: March 30, 2026, 7:39 p.m.