Triple

T14460981
Position Surface form Disambiguated ID Type / Status
Subject Jorge Lendeborg Jr. E358581 entity
Predicate notableWork P4 FINISHED
Object Boogie
Boogie is a coming-of-age sports drama film centered on a Chinese American basketball phenom navigating cultural expectations and his NBA dreams.
 E1100906 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: Boogie | Statement: [Jorge Lendeborg Jr., notableWork, Boogie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boogie
Context triple: [Jorge Lendeborg Jr., notableWork, Boogie]
  • A. The Boogie That Be
    "The Boogie That Be" is a high-energy hip hop track by the Black Eyed Peas known for its funky beats and party-oriented vibe.
  • B. Boogie Man
    "Boogie Man" is a hard rock song by the Australian band AC/DC, featured on their 1995 album "Ballbreaker."
  • C. Boogie Down
    "Boogie Down" is a 1983 R&B/disco single by former Temptations singer Eddie Kendricks that became one of his best-known solo hits.
  • D. Boogie Down
    Boogie Down is a soul and R&B song by American singer-songwriter and producer Frank Wilson, recognized as one of his notable recordings.
  • E. Boogie Chillen'
    "Boogie Chillen'" is a seminal 1948 blues song by John Lee Hooker that became his first hit and a cornerstone of electric blues and early rock and roll.
  • 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: Boogie
Triple: [Jorge Lendeborg Jr., notableWork, Boogie]
Generated description
Boogie is a coming-of-age sports drama film centered on a Chinese American basketball phenom navigating cultural expectations and his NBA dreams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boogie
Target entity description: Boogie is a coming-of-age sports drama film centered on a Chinese American basketball phenom navigating cultural expectations and his NBA dreams.
  • A. The Boogie That Be
    "The Boogie That Be" is a high-energy hip hop track by the Black Eyed Peas known for its funky beats and party-oriented vibe.
  • B. Boogie Man
    "Boogie Man" is a hard rock song by the Australian band AC/DC, featured on their 1995 album "Ballbreaker."
  • C. Boogie Down
    "Boogie Down" is a 1983 R&B/disco single by former Temptations singer Eddie Kendricks that became one of his best-known solo hits.
  • D. Boogie Down
    Boogie Down is a soul and R&B song by American singer-songwriter and producer Frank Wilson, recognized as one of his notable recordings.
  • E. Boogie Chillen'
    "Boogie Chillen'" is a seminal 1948 blues song by John Lee Hooker that became his first hit and a cornerstone of electric blues and early rock and roll.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91abc1008190a19de4f8f0112c9d completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6495660081908ab9db11939e74f7 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd65f9f5d88190997c76ba98859471 completed May 8, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_69fd66a62da081908226d85d968dbbe6 completed May 8, 2026, 4:29 a.m.
Created at: April 10, 2026, 1:19 a.m.