Triple

T13094526
Position Surface form Disambiguated ID Type / Status
Subject Smokey Joe's Cafe E310547 entity
Predicate featuresWork P36250 FINISHED
Object Fools Fall in Love
"Fools Fall in Love" is a classic pop song written by Jerry Leiber and Mike Stoller that has been recorded by multiple artists since the 1950s.
E1019552 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: Fools Fall in Love | Statement: [Smokey Joe's Cafe, featuresWork, Fools Fall in Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fools Fall in Love
Context triple: [Smokey Joe's Cafe, featuresWork, Fools Fall in Love]
  • A. Fool for You
    "Fool for You" is a song featured on James Taylor's 1972 album "One Man Dog."
  • B. Foolin'
    "Foolin'" is a 1983 hard rock power ballad by English band Def Leppard, released as a single from their breakthrough album "Pyromania."
  • C. Fool That I Am
    "Fool That I Am" is a soulful ballad best known from its classic rhythm and blues recordings, notably by Etta James.
  • D. Fools Rush In
    Fools Rush In is a 1997 romantic comedy film best known for starring Salma Hayek opposite Matthew Perry in a cross-cultural love story set between New York and Las Vegas.
  • E. Why Do Fools Fall in Love
    "Why Do Fools Fall in Love" is a 1998 biographical romantic drama film about singer Frankie Lymon and the three women who each claim to be his widow.
  • 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: Fools Fall in Love
Triple: [Smokey Joe's Cafe, featuresWork, Fools Fall in Love]
Generated description
"Fools Fall in Love" is a classic pop song written by Jerry Leiber and Mike Stoller that has been recorded by multiple artists since the 1950s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fools Fall in Love
Target entity description: "Fools Fall in Love" is a classic pop song written by Jerry Leiber and Mike Stoller that has been recorded by multiple artists since the 1950s.
  • A. Fool for You
    "Fool for You" is a song featured on James Taylor's 1972 album "One Man Dog."
  • B. Foolin'
    "Foolin'" is a 1983 hard rock power ballad by English band Def Leppard, released as a single from their breakthrough album "Pyromania."
  • C. Fool That I Am
    "Fool That I Am" is a soulful ballad best known from its classic rhythm and blues recordings, notably by Etta James.
  • D. Fools Rush In
    Fools Rush In is a 1997 romantic comedy film best known for starring Salma Hayek opposite Matthew Perry in a cross-cultural love story set between New York and Las Vegas.
  • E. Why Do Fools Fall in Love
    "Why Do Fools Fall in Love" is a 1998 biographical romantic drama film about singer Frankie Lymon and the three women who each claim to be his widow.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813cd1b881909871a318fdd60672 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d617f1908190a2fa147bedede54f completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6d6e326408190b7906c7ea8e3ef85 completed May 3, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6d873b978819097962c82e8ffdac8 completed May 3, 2026, 5:09 a.m.
Created at: April 9, 2026, 9:03 p.m.