Triple

T5428013
Position Surface form Disambiguated ID Type / Status
Subject Kia Abdullah E121410 entity
Predicate notableWork P4 FINISHED
Object Take It Back
Take It Back is a gripping legal thriller novel by British author Kia Abdullah that explores themes of prejudice, sexual assault, and the pursuit of justice through a high-stakes courtroom drama.
 E518586 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: Take It Back | Statement: [Kia Abdullah, notableWork, Take It Back]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Take It Back
Context triple: [Kia Abdullah, notableWork, Take It Back]
  • A. I Take It Back
    "I Take It Back" is a song written by American songwriter and producer Buddy Buie, known for his work in pop and Southern rock music.
  • B. Takin' It Back
    "Takin' It Back" is a pop album by Meghan Trainor that marks her return to a retro-inspired sound and themes of self-confidence and empowerment.
  • C. Get It Back
    "Get It Back" is a song by Whitney Houston featured on her 1998 album *My Love Is Your Love*.
  • D. Take Back
    "Take Back" is a song featured on Green Day's 1997 album *Nimrod*.
  • E. Take It All
    "Take It All" is a dramatic song performed by Marion Cotillard in the 2009 musical film *Nine*, known for its emotional intensity and central role in the movie’s narrative.
  • 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: Take It Back
Triple: [Kia Abdullah, notableWork, Take It Back]
Generated description
Take It Back is a gripping legal thriller novel by British author Kia Abdullah that explores themes of prejudice, sexual assault, and the pursuit of justice through a high-stakes courtroom drama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Take It Back
Target entity description: Take It Back is a gripping legal thriller novel by British author Kia Abdullah that explores themes of prejudice, sexual assault, and the pursuit of justice through a high-stakes courtroom drama.
  • A. I Take It Back
    "I Take It Back" is a song written by American songwriter and producer Buddy Buie, known for his work in pop and Southern rock music.
  • B. Takin' It Back
    "Takin' It Back" is a pop album by Meghan Trainor that marks her return to a retro-inspired sound and themes of self-confidence and empowerment.
  • C. Get It Back
    "Get It Back" is a song by Whitney Houston featured on her 1998 album *My Love Is Your Love*.
  • D. Take Back
    "Take Back" is a song featured on Green Day's 1997 album *Nimrod*.
  • E. Take It All
    "Take It All" is a dramatic song performed by Marion Cotillard in the 2009 musical film *Nine*, known for its emotional intensity and central role in the movie’s narrative.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd881998308190a071af0fe44997bc completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ac2e1e88190a624ba277eca3d03 completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b592a08819090e2873bcf4e797f completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3c0b9e5481909101eccbd55f24b2 completed March 22, 2026, 12:47 a.m.
Created at: March 20, 2026, 2:06 p.m.