Triple

T7972179
Position Surface form Disambiguated ID Type / Status
Subject No Time to Kill E185349 entity
Predicate hasPart P35 FINISHED
Object Buy Me a Rose
"Buy Me a Rose" is a country song most famously recorded by Kenny Rogers, known for its tender narrative about love expressed through small, everyday gestures.
E702571 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: Buy Me a Rose | Statement: [No Time to Kill, hasPart, Buy Me a Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buy Me a Rose
Context triple: [No Time to Kill, hasPart, Buy Me a Rose]
  • A. Only a Rose
    "Only a Rose" is a romantic song from the 1925 operetta "The Vagabond King," composed by Rudolf Friml and widely recognized as one of his signature melodies.
  • B. Bed of Roses
    Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
  • C. Roses & Sunshine
    Roses & Sunshine is a studio album by Greek singer Nana Mouskouri that showcases her signature blend of easy-listening pop and folk-influenced ballads.
  • D. Roses Blue
    "Roses Blue" is a song by Joni Mitchell from her 1969 album *Clouds*, noted for its introspective lyrics and folk-influenced style.
  • E. Paper Roses
    "Paper Roses" is a 1973 country-pop song, originally recorded by Marie Osmond, that became her breakthrough hit and signature recording.
  • 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: Buy Me a Rose
Triple: [No Time to Kill, hasPart, Buy Me a Rose]
Generated description
"Buy Me a Rose" is a country song most famously recorded by Kenny Rogers, known for its tender narrative about love expressed through small, everyday gestures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buy Me a Rose
Target entity description: "Buy Me a Rose" is a country song most famously recorded by Kenny Rogers, known for its tender narrative about love expressed through small, everyday gestures.
  • A. Only a Rose
    "Only a Rose" is a romantic song from the 1925 operetta "The Vagabond King," composed by Rudolf Friml and widely recognized as one of his signature melodies.
  • B. Bed of Roses
    Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
  • C. Roses & Sunshine
    Roses & Sunshine is a studio album by Greek singer Nana Mouskouri that showcases her signature blend of easy-listening pop and folk-influenced ballads.
  • D. Roses Blue
    "Roses Blue" is a song by Joni Mitchell from her 1969 album *Clouds*, noted for its introspective lyrics and folk-influenced style.
  • E. Paper Roses
    "Paper Roses" is a 1973 country-pop song, originally recorded by Marie Osmond, that became her breakthrough hit and signature recording.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd580dc819084be5b7963b6029c completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0b207ec8190a1a78e77a6bdb15e completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cbe43c4d2081909a8f5763252d88f1 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc193e73cc819085797ef363a37079 completed March 31, 2026, 6:58 p.m.
Created at: March 30, 2026, 5:13 p.m.