Triple

T1797342
Position Surface form Disambiguated ID Type / Status
Subject Big Sean E39634 entity
Predicate notableWork P4 FINISHED
Object My Last
"My Last" is a popular hip-hop single by Big Sean featuring Chris Brown, known for its celebratory theme and catchy, melodic hook.
 E201357 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 Last | Statement: [Big Sean, notableWork, My Last]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: My Last
Context triple: [Big Sean, notableWork, My Last]
  • A. Last Day
    "Last Day" is a song featured on the album "Life After Death" by The Notorious B.I.G.
  • B. So Long, Farewell
    "So Long, Farewell" is a popular song from the 1959 Rodgers and Hammerstein musical *The Sound of Music*, known for its playful farewell sequence performed by the von Trapp children.
  • C. Last Ride In
    "Last Ride In" is an instrumental surf rock track by the American punk band Green Day from their 1997 album *Nimrod*.
  • D. My Man
    "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • E. Goodbye My Lover
    "Goodbye My Lover" is a melancholic pop ballad by British singer-songwriter James Blunt, known for its emotional lyrics about heartbreak and loss.
  • 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 Last
Triple: [Big Sean, notableWork, My Last]
Generated description
"My Last" is a popular hip-hop single by Big Sean featuring Chris Brown, known for its celebratory theme and catchy, melodic hook.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: My Last
Target entity description: "My Last" is a popular hip-hop single by Big Sean featuring Chris Brown, known for its celebratory theme and catchy, melodic hook.
  • A. Last Day
    "Last Day" is a song featured on the album "Life After Death" by The Notorious B.I.G.
  • B. So Long, Farewell
    "So Long, Farewell" is a popular song from the 1959 Rodgers and Hammerstein musical *The Sound of Music*, known for its playful farewell sequence performed by the von Trapp children.
  • C. Last Ride In
    "Last Ride In" is an instrumental surf rock track by the American punk band Green Day from their 1997 album *Nimrod*.
  • D. My Man
    "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • E. Goodbye My Lover
    "Goodbye My Lover" is a melancholic pop ballad by British singer-songwriter James Blunt, known for its emotional lyrics about heartbreak and loss.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6566cd808190a67f33ad47d8ca8e completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d6cee88190b26814134037aba6 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb8b626688190b4953d4549339dea completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb9253fa08190bfb7d245208150c0 completed March 8, 2026, 6 p.m.
Created at: March 4, 2026, 7:32 p.m.