Triple

T11937283
Position Surface form Disambiguated ID Type / Status
Subject Feelings E284076 entity
Predicate hasTrack P3284 FINISHED
Object They Are in Love
"They Are in Love" is a song, likely in the pop or rock genre, that explores romantic emotions and the experience of being in love.
 E954961 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: They Are in Love | Statement: [Feelings, hasTrack, They Are in Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: They Are in Love
Context triple: [Feelings, hasTrack, They Are in Love]
  • A. We’re In Love
    "We’re In Love" is a song featured on the album "The Record."
  • B. You’re in Love
    "You’re in Love" is a hard rock song by the American glam metal band Ratt, featured on their 1985 album "Invasion of Your Privacy."
  • C. I Am in Love
    "I Am in Love" is a popular song by Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed album of Porter compositions.
  • D. She's in Love
    "She's in Love" is a country song recorded by American singer Mark Wills that became one of his most recognizable hits in the late 1990s.
  • E. You Are Love
    "You Are Love" is a romantic duet from the classic 1927 Jerome Kern and Oscar Hammerstein II musical *Show Boat*, celebrated as one of its central love songs.
  • 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: They Are in Love
Triple: [Feelings, hasTrack, They Are in Love]
Generated description
"They Are in Love" is a song, likely in the pop or rock genre, that explores romantic emotions and the experience of being in love.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: They Are in Love
Target entity description: "They Are in Love" is a song, likely in the pop or rock genre, that explores romantic emotions and the experience of being in love.
  • A. We’re In Love
    "We’re In Love" is a song featured on the album "The Record."
  • B. You’re in Love
    "You’re in Love" is a hard rock song by the American glam metal band Ratt, featured on their 1985 album "Invasion of Your Privacy."
  • C. I Am in Love
    "I Am in Love" is a popular song by Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed album of Porter compositions.
  • D. She's in Love
    "She's in Love" is a country song recorded by American singer Mark Wills that became one of his most recognizable hits in the late 1990s.
  • E. You Are Love
    "You Are Love" is a romantic duet from the classic 1927 Jerome Kern and Oscar Hammerstein II musical *Show Boat*, celebrated as one of its central love songs.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903094218819092e11b273d87de65 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4408d497c8190b051225140125e1f completed May 1, 2026, 5:56 a.m.
NEDg Description generation batch_69f448fc874081908fe05f9d8aff11a3 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44afdc7b08190bdf47cfcb94c34c8 completed May 1, 2026, 6:41 a.m.
Created at: April 8, 2026, 9:45 p.m.