Triple

T10526759
Position Surface form Disambiguated ID Type / Status
Subject Car Wash (soundtrack) E248324 entity
Predicate includesTrack P3284 FINISHED
Object Born to Love You
"Born to Love You" is a song featured on the soundtrack of the 1976 comedy film "Car Wash."
E869459 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: Born to Love You | Statement: [Car Wash (soundtrack), includesTrack, Born to Love You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Born to Love You
Context triple: [Car Wash (soundtrack), includesTrack, Born to Love You]
  • A. Loving You
    Loving You is a 1957 musical drama film starring Elvis Presley, notable as his first starring movie role and produced by influential Hollywood producer Hal B. Wallis.
  • B. For You to Love
    "For You to Love" is an R&B ballad by Freddie Jackson featured on his 1988 album "Don't Let Love Slip Away."
  • C. Make Love to You
    "Make Love to You" is a rock song by the short-lived 1976 collaboration The Stills-Young Band, formed by Stephen Stills and Neil Young.
  • D. Who You Love
    "Who You Love" is a romantic duet by John Mayer and Katy Perry that blends soft rock and pop influences to explore the theme of accepting love without judgment.
  • E. We Love You
    "We Love You" is a pop song produced by Moroccan-Swedish hitmaker RedOne, known for its upbeat, radio-friendly sound and polished dance-pop production.
  • 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: Born to Love You
Triple: [Car Wash (soundtrack), includesTrack, Born to Love You]
Generated description
"Born to Love You" is a song featured on the soundtrack of the 1976 comedy film "Car Wash."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Born to Love You
Target entity description: "Born to Love You" is a song featured on the soundtrack of the 1976 comedy film "Car Wash."
  • A. Loving You
    Loving You is a 1957 musical drama film starring Elvis Presley, notable as his first starring movie role and produced by influential Hollywood producer Hal B. Wallis.
  • B. For You to Love
    "For You to Love" is an R&B ballad by Freddie Jackson featured on his 1988 album "Don't Let Love Slip Away."
  • C. Make Love to You
    "Make Love to You" is a rock song by the short-lived 1976 collaboration The Stills-Young Band, formed by Stephen Stills and Neil Young.
  • D. Who You Love
    "Who You Love" is a romantic duet by John Mayer and Katy Perry that blends soft rock and pop influences to explore the theme of accepting love without judgment.
  • E. We Love You
    "We Love You" is a pop song produced by Moroccan-Swedish hitmaker RedOne, known for its upbeat, radio-friendly sound and polished dance-pop production.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f5ec348190875c8c877e70ba4a completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e31350c8190a7493cdc33cc450a completed April 10, 2026, 2:50 p.m.
NEDg Description generation batch_69d9107e8b94819086ebba1675a0db54 completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911a16b1481909197b00c30de48c4 completed April 10, 2026, 3:05 p.m.
Created at: April 6, 2026, 12:29 p.m.