Triple

T8179544
Position Surface form Disambiguated ID Type / Status
Subject She (Elvis Costello song) E191023 entity
Predicate title P38 FINISHED
Object She
"She" is a romantic ballad popularized by Elvis Costello, best known for his 1999 cover used in the film Notting Hill.
 E716535 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: She | Statement: [She (Elvis Costello song), title, She]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: She
Context triple: [She (Elvis Costello song), title, She]
  • A. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • B. She
    "She" is a 1935 fantasy adventure film directed by Irving Pichel, best known for its exotic lost-world setting and early use of striking production design and special effects.
  • C. 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.
  • D. 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.
  • E. Her
    "Her" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics about love and vulnerability.
  • 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: She
Triple: [She (Elvis Costello song), title, She]
Generated description
"She" is a romantic ballad popularized by Elvis Costello, best known for his 1999 cover used in the film Notting Hill.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: She
Target entity description: "She" is a romantic ballad popularized by Elvis Costello, best known for his 1999 cover used in the film Notting Hill.
  • A. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • B. She
    "She" is a 1935 fantasy adventure film directed by Irving Pichel, best known for its exotic lost-world setting and early use of striking production design and special effects.
  • C. 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.
  • D. 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.
  • E. Her
    "Her" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics about love and vulnerability.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4abd9768819091298e4dd995ac96 completed March 31, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf86f8848190a196f7c8d3ad2b36 completed April 1, 2026, 6:47 a.m.
NEDg Description generation batch_69ccc315132c8190bb0ad49232ccc3b8 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd85aa2888190bd167148b21a3f93 completed April 1, 2026, 8:33 a.m.
Created at: March 30, 2026, 5:40 p.m.