Triple

T3972203
Position Surface form Disambiguated ID Type / Status
Subject Beck E92359 entity
Predicate notableSong P4 FINISHED
Object Girl
"Girl" is a 2005 pop-rock song by American musician Beck, known for its catchy melody and surreal, collage-style lyrics.
 E405124 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: Girl | Statement: [Beck, notableSong, Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Girl
Context triple: [Beck, notableSong, Girl]
  • A. Girl
    "Girl" is Pharrell Williams' 2014 funk- and R&B-infused studio album known for its upbeat, soulful sound and the hit single "Happy."
  • B. Girls
    Girls is an HBO comedy-drama television series created by and starring Lena Dunham that follows a group of young women navigating life and relationships in New York City.
  • C. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • D. Her
    "Her" is a lesser-known work by American poet, painter, and City Lights Books co-founder Lawrence Ferlinghetti, reflecting his characteristic Beat-influenced, avant-garde literary style.
  • E. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • 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: Girl
Triple: [Beck, notableSong, Girl]
Generated description
"Girl" is a 2005 pop-rock song by American musician Beck, known for its catchy melody and surreal, collage-style lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Girl
Target entity description: "Girl" is a 2005 pop-rock song by American musician Beck, known for its catchy melody and surreal, collage-style lyrics.
  • A. Girl
    "Girl" is Pharrell Williams' 2014 funk- and R&B-infused studio album known for its upbeat, soulful sound and the hit single "Happy."
  • B. Girls
    Girls is an HBO comedy-drama television series created by and starring Lena Dunham that follows a group of young women navigating life and relationships in New York City.
  • C. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • D. Her
    "Her" is a lesser-known work by American poet, painter, and City Lights Books co-founder Lawrence Ferlinghetti, reflecting his characteristic Beat-influenced, avant-garde literary style.
  • E. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef996ff6c8190ba8cc490e4744b95 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5400fa9ac8190adf70a4c49eac32c completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b5442537488190a7a99e09ee154057 completed March 14, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_69b544f60e288190973aaf0a4136a072 completed March 14, 2026, 11:22 a.m.
Created at: March 9, 2026, 3:32 p.m.