Triple

T19913594
Position Surface form Disambiguated ID Type / Status
Subject Cuts Like a Knife E478607 entity
Predicate hasPart P35 FINISHED
Object Take Me Back
"Take Me Back" is a song by Canadian rock musician Bryan Adams from his 1983 album *Cuts Like a Knife*.
 E1401053 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 Me Back | Statement: [Cuts Like a Knife, hasPart, Take Me Back]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Take Me Back
Context triple: [Cuts Like a Knife, hasPart, Take Me Back]
  • A. Take Me Back
    "Take Me Back" is a song by American rock band Story of the Year, known for its energetic post-hardcore style and emotionally charged lyrics.
  • B. Take Me Back Again
    "Take Me Back Again" is a country song recorded by the American band Restless Heart.
  • C. Take It Back
    "Take It Back" is a song by the Wu-Tang Clan, released as a single from their 2007 studio album "8 Diagrams."
  • D. 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.
  • E. Take It Back
    "Take It Back" is a song featured on the collaborative R&B album "Love, Marriage & Divorce" by Toni Braxton and Babyface.
  • 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 Me Back
Triple: [Cuts Like a Knife, hasPart, Take Me Back]
Generated description
"Take Me Back" is a song by Canadian rock musician Bryan Adams from his 1983 album *Cuts Like a Knife*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Take Me Back
Target entity description: "Take Me Back" is a song by Canadian rock musician Bryan Adams from his 1983 album *Cuts Like a Knife*.
  • A. Take Me Back
    "Take Me Back" is a song by American rock band Story of the Year, known for its energetic post-hardcore style and emotionally charged lyrics.
  • B. Take Me Back Again
    "Take Me Back Again" is a country song recorded by the American band Restless Heart.
  • C. Take It Back
    "Take It Back" is a song by the Wu-Tang Clan, released as a single from their 2007 studio album "8 Diagrams."
  • D. 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.
  • E. Take It Back
    "Take It Back" is a song featured on the collaborative R&B album "Love, Marriage & Divorce" by Toni Braxton and Babyface.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659928030819085a4aafc6a0ef5c8 completed April 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea4da7b08190a91e34dc73c45042 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07ec5609748190b38b8bfce84924b5 completed May 16, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_6a07ed1b06a88190a837c3aaf32438c9 completed May 16, 2026, 4:05 a.m.
Created at: April 10, 2026, 1:53 p.m.