Triple

T14552336
Position Surface form Disambiguated ID Type / Status
Subject Her Smell E341448 entity
Predicate featuresFictionalBand P38974 FINISHED
Object Something She
Something She is the fictional all-female punk band fronted by Elisabeth Moss’s character in the 2018 film "Her Smell."
 E1107053 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: Something She | Statement: [Her Smell, featuresFictionalBand, Something She]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Something She
Context triple: [Her Smell, featuresFictionalBand, Something She]
  • A. And She Was
    "And She Was" is a 1985 new wave song by Talking Heads, known for its surreal lyrics and upbeat, guitar-driven sound.
  • B. She Will
    "She Will" is a hip-hop song by Lil Wayne featuring Drake, known for its moody production and introspective lyrics about success, loyalty, and relationships.
  • C. I Want Her
    "I Want Her" is a 1987 R&B single by Keith Sweat that became a major hit and helped define the new jack swing sound of the late 1980s.
  • D. All She Wants
    "All She Wants" is a song by British singer-songwriter Mika featured on his 2015 pop album "No Place in Heaven."
  • E. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • 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: Something She
Triple: [Her Smell, featuresFictionalBand, Something She]
Generated description
Something She is the fictional all-female punk band fronted by Elisabeth Moss’s character in the 2018 film "Her Smell."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Something She
Target entity description: Something She is the fictional all-female punk band fronted by Elisabeth Moss’s character in the 2018 film "Her Smell."
  • A. And She Was
    "And She Was" is a 1985 new wave song by Talking Heads, known for its surreal lyrics and upbeat, guitar-driven sound.
  • B. She Will
    "She Will" is a hip-hop song by Lil Wayne featuring Drake, known for its moody production and introspective lyrics about success, loyalty, and relationships.
  • C. I Want Her
    "I Want Her" is a 1987 R&B single by Keith Sweat that became a major hit and helped define the new jack swing sound of the late 1980s.
  • D. All She Wants
    "All She Wants" is a song by British singer-songwriter Mika featured on his 2015 pop album "No Place in Heaven."
  • E. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab7d698819085fd81d7b6f96317 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8b8566cc81908c5cecefb5d71e63 completed May 8, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd8e8c320c8190b08af08226e50622 completed May 8, 2026, 7:19 a.m.
Created at: April 10, 2026, 1:23 a.m.