Triple

T4323854
Position Surface form Disambiguated ID Type / Status
Subject Take My Time E96586 entity
Predicate hasPart P35 FINISHED
Object So Much in Love
"So Much in Love" is a romantic R&B song best known as a hit single by the British boy band Take That.
 E432686 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: So Much in Love | Statement: [Take My Time, hasPart, So Much in Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: So Much in Love
Context triple: [Take My Time, hasPart, So Much in Love]
  • A. So Much Love
    "So Much Love" is a soul song written by Gerry Goffin (with Carole King) that has been widely covered by artists such as Ben E. King and Dusty Springfield.
  • B. So in Love
    "So in Love" is a romantic ballad by Cole Porter, best known as one of the standout songs from his 1948 musical *Kiss Me, Kate*.
  • C. Still in Love
    "Still in Love" is an R&B song by American singer-songwriter Brian McKnight, showcasing his smooth vocals and romantic ballad style.
  • D. 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.
  • E. The One I Love
    The One I Love is a 2014 American surreal romantic dramedy film starring Mark Duplass and Elisabeth Moss, centered on a troubled couple whose weekend retreat takes an unexpectedly bizarre turn.
  • 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: So Much in Love
Triple: [Take My Time, hasPart, So Much in Love]
Generated description
"So Much in Love" is a romantic R&B song best known as a hit single by the British boy band Take That.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: So Much in Love
Target entity description: "So Much in Love" is a romantic R&B song best known as a hit single by the British boy band Take That.
  • A. So Much Love
    "So Much Love" is a soul song written by Gerry Goffin (with Carole King) that has been widely covered by artists such as Ben E. King and Dusty Springfield.
  • B. So in Love
    "So in Love" is a romantic ballad by Cole Porter, best known as one of the standout songs from his 1948 musical *Kiss Me, Kate*.
  • C. Still in Love
    "Still in Love" is an R&B song by American singer-songwriter Brian McKnight, showcasing his smooth vocals and romantic ballad style.
  • D. 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.
  • E. The One I Love
    The One I Love is a 2014 American surreal romantic dramedy film starring Mark Duplass and Elisabeth Moss, centered on a troubled couple whose weekend retreat takes an unexpectedly bizarre turn.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35118abe481908b7987019be217e1 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db950f5c8190ba67d8e2f8da50dc completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc578b08819095cbf6ba8470d3e0 completed March 14, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b5dd1b03508190a47bb6fb93f22ad8 completed March 14, 2026, 10:11 p.m.
Created at: March 12, 2026, 11:13 p.m.