Triple

T3621876
Position Surface form Disambiguated ID Type / Status
Subject Annie E76744 entity
Predicate notableSong P4 FINISHED
Object Little Girls
"Little Girls" is a darkly comedic song from the musical Annie, sung by the villainous Miss Hannigan as she laments having to care for the orphaned girls.
 E372989 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: Little Girls | Statement: [Annie, notableSong, Little Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Little Girls
Context triple: [Annie, notableSong, Little Girls]
  • A. Two Little Girls in Blue
    Two Little Girls in Blue is a suspense novel by Mary Higgins Clark that follows the mysterious kidnapping of toddler twins and their telepathic bond that helps unravel the crime.
  • B. Sweet Little Girl
    "Sweet Little Girl" is a soulful R&B song by Stevie Wonder from his influential 1972 album *Music of My Mind*.
  • C. My Girls
    "My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
  • D. Girl's Tyme
    Girl's Tyme was the original name of the R&B girl group that later rose to fame as Destiny's Child.
  • E. Most Girls
    "Most Girls" is a 2017 pop single by American singer and actress Hailee Steinfeld that promotes female empowerment and individuality.
  • 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: Little Girls
Triple: [Annie, notableSong, Little Girls]
Generated description
"Little Girls" is a darkly comedic song from the musical Annie, sung by the villainous Miss Hannigan as she laments having to care for the orphaned girls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Little Girls
Target entity description: "Little Girls" is a darkly comedic song from the musical Annie, sung by the villainous Miss Hannigan as she laments having to care for the orphaned girls.
  • A. Two Little Girls in Blue
    Two Little Girls in Blue is a suspense novel by Mary Higgins Clark that follows the mysterious kidnapping of toddler twins and their telepathic bond that helps unravel the crime.
  • B. Sweet Little Girl
    "Sweet Little Girl" is a soulful R&B song by Stevie Wonder from his influential 1972 album *Music of My Mind*.
  • C. My Girls
    "My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
  • D. Girl's Tyme
    Girl's Tyme was the original name of the R&B girl group that later rose to fame as Destiny's Child.
  • E. Most Girls
    "Most Girls" is a 2017 pop single by American singer and actress Hailee Steinfeld that promotes female empowerment and individuality.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bb12cc8190bd67597cf3b66a3a completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331e75d08190ad1ce3e7ef26454a completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b436140e9c81909c0616e6fce36c2b completed March 13, 2026, 4:06 p.m.
NED2 Entity disambiguation (via description) batch_69b439c83580819091024e692847a7db completed March 13, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:23 p.m.