Triple

T10010229
Position Surface form Disambiguated ID Type / Status
Subject Radio Music Society E198351 entity
Predicate hasPart P35 FINISHED
Object Let Her
"Let Her" is a song featured on Esperanza Spalding’s jazz-influenced album *Radio Music Society*.
E837311 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: Let Her | Statement: [Radio Music Society, hasPart, Let Her]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Let Her
Context triple: [Radio Music Society, hasPart, Let Her]
  • A. For Her
    "For Her" is a song by Fiona Apple from her critically acclaimed 2020 album Fetch the Bolt Cutters, noted for its raw, emotionally charged lyrics and experimental art-pop sound.
  • B. Make Her Say
    "Make Her Say" is a hip-hop single by Kid Cudi featuring Kanye West and Common, known for its playful lyrics and prominent sample of Lady Gaga's "Poker Face."
  • C. Her Too
    "Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
  • D. Pieces of Her
    Pieces of Her is a thriller drama television series, based on Karin Slaughter’s novel, that follows a woman who discovers shocking secrets about her seemingly ordinary mother after a violent incident.
  • E. Tell Her You Love Her
    "Tell Her You Love Her" is a work of fiction by British writer Bridget O’Connor, known for her sharp, darkly comic storytelling.
  • 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: Let Her
Triple: [Radio Music Society, hasPart, Let Her]
Generated description
"Let Her" is a song featured on Esperanza Spalding’s jazz-influenced album *Radio Music Society*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Let Her
Target entity description: "Let Her" is a song featured on Esperanza Spalding’s jazz-influenced album *Radio Music Society*.
  • A. For Her
    "For Her" is a song by Fiona Apple from her critically acclaimed 2020 album Fetch the Bolt Cutters, noted for its raw, emotionally charged lyrics and experimental art-pop sound.
  • B. Make Her Say
    "Make Her Say" is a hip-hop single by Kid Cudi featuring Kanye West and Common, known for its playful lyrics and prominent sample of Lady Gaga's "Poker Face."
  • C. Her Too
    "Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
  • D. Pieces of Her
    Pieces of Her is a thriller drama television series, based on Karin Slaughter’s novel, that follows a woman who discovers shocking secrets about her seemingly ordinary mother after a violent incident.
  • E. Tell Her You Love Her
    "Tell Her You Love Her" is a work of fiction by British writer Bridget O’Connor, known for her sharp, darkly comic storytelling.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd39e074819097f77a4d4bf7856e completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28211c2448190897fd4078a266154 completed April 5, 2026, 3:38 p.m.
NEDg Description generation batch_69d284a5bf78819095d60493272660bd completed April 5, 2026, 3:49 p.m.
NED2 Entity disambiguation (via description) batch_69d2850587c08190aba0f0b5d012d81d completed April 5, 2026, 3:51 p.m.
Created at: March 30, 2026, 8:52 p.m.