Triple

T8426433
Position Surface form Disambiguated ID Type / Status
Subject Dillon Francis E199004 entity
Predicate notableWork P4 FINISHED
Object Coming Over
"Coming Over" is a popular electronic dance track by American DJ and producer Dillon Francis, known for its melodic hooks and festival-friendly sound.
E733298 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: Coming Over | Statement: [Dillon Francis, notableWork, Coming Over]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coming Over
Context triple: [Dillon Francis, notableWork, Coming Over]
  • A. Come Over
    "Come Over" is an R&B song by British singer Estelle that showcases her smooth vocals and romantic, laid-back style.
  • B. Love Over and Over
    Love Over and Over is a folk music album by Canadian singer-songwriter Anna McGarrigle, created with her sister Kate McGarrigle.
  • C. Get Over
    "Get Over" is a track by Lil Wayne featured on his acclaimed 2005 studio album *Tha Carter II*.
  • D. Get Over It
    "Get Over It" is a pop song co-written by British singer-songwriter Amanda Ghost, known for its emotionally charged lyrics and melodic, radio-friendly sound.
  • E. How I Got Over
    How I Got Over is a critically acclaimed 2010 studio album by hip hop band The Roots that blends socially conscious lyrics with soulful, experimental 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: Coming Over
Triple: [Dillon Francis, notableWork, Coming Over]
Generated description
"Coming Over" is a popular electronic dance track by American DJ and producer Dillon Francis, known for its melodic hooks and festival-friendly sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Coming Over
Target entity description: "Coming Over" is a popular electronic dance track by American DJ and producer Dillon Francis, known for its melodic hooks and festival-friendly sound.
  • A. Come Over
    "Come Over" is an R&B song by British singer Estelle that showcases her smooth vocals and romantic, laid-back style.
  • B. Love Over and Over
    Love Over and Over is a folk music album by Canadian singer-songwriter Anna McGarrigle, created with her sister Kate McGarrigle.
  • C. Get Over
    "Get Over" is a track by Lil Wayne featured on his acclaimed 2005 studio album *Tha Carter II*.
  • D. Get Over It
    "Get Over It" is a pop song co-written by British singer-songwriter Amanda Ghost, known for its emotionally charged lyrics and melodic, radio-friendly sound.
  • E. How I Got Over
    How I Got Over is a critically acclaimed 2010 studio album by hip hop band The Roots that blends socially conscious lyrics with soulful, experimental 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb85a37e388190b2a7ab8e6966baac completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0364f294819091ef9f39429f3fb5 completed April 2, 2026, 5:49 a.m.
NEDg Description generation batch_69ce07837648819080cd4026af55b246 completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce083cee848190b27a7dd19a16a0dc completed April 2, 2026, 6:10 a.m.
Created at: March 30, 2026, 6:07 p.m.