Triple

T18028283
Position Surface form Disambiguated ID Type / Status
Subject A Place in the Sun E431318 entity
Predicate hasHitSingle P15293 FINISHED
Object My Best Friend
"My Best Friend" is a pop song best known as a hit single from the British band A Place in the Sun.
 E1301984 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: My Best Friend | Statement: [A Place in the Sun, hasHitSingle, My Best Friend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: My Best Friend
Context triple: [A Place in the Sun, hasHitSingle, My Best Friend]
  • A. You’re My Best Friend
    "You’re My Best Friend" is a 1975 pop-rock ballad by Queen, written by bassist John Deacon and best known as one of the band’s signature love songs.
  • B. My Friend
    "My Friend" is a song featured on the EP "Available Light."
  • C. You Are My Friend
    "You Are My Friend" is a soulful 1978 R&B ballad by Patti LaBelle that has become one of her signature songs and a staple of her live performances.
  • D. This Is My Friend
    "This Is My Friend" is a film project associated with actor Noah Lee Ritter, known primarily for its connection to his emerging body of work.
  • E. My Friends
    "My Friends" is a dark, introspective ballad from the musical *Sweeney Todd: The Demon Barber of Fleet Street*, in which Todd expresses his twisted affection for his razors.
  • 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: My Best Friend
Triple: [A Place in the Sun, hasHitSingle, My Best Friend]
Generated description
"My Best Friend" is a pop song best known as a hit single from the British band A Place in the Sun.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: My Best Friend
Target entity description: "My Best Friend" is a pop song best known as a hit single from the British band A Place in the Sun.
  • A. You’re My Best Friend
    "You’re My Best Friend" is a 1975 pop-rock ballad by Queen, written by bassist John Deacon and best known as one of the band’s signature love songs.
  • B. My Friend
    "My Friend" is a song featured on the EP "Available Light."
  • C. You Are My Friend
    "You Are My Friend" is a soulful 1978 R&B ballad by Patti LaBelle that has become one of her signature songs and a staple of her live performances.
  • D. This Is My Friend
    "This Is My Friend" is a film project associated with actor Noah Lee Ritter, known primarily for its connection to his emerging body of work.
  • E. My Friends
    "My Friends" is a dark, introspective ballad from the musical *Sweeney Todd: The Demon Barber of Fleet Street*, in which Todd expresses his twisted affection for his razors.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be332a7081909124abdd98430a8a completed April 19, 2026, 11:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03432cd3088190892e4c23e9e42b4e completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a034673924c81908ce78f3040b0b6e7 completed May 12, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a0346e675e0819098af9e720adda576 completed May 12, 2026, 3:27 p.m.
Created at: April 10, 2026, 10:25 a.m.