Triple

T18081194
Position Surface form Disambiguated ID Type / Status
Subject Laz Alonso E432692 entity
Predicate notableWork P4 FINISHED
Object Battle of the Year
Battle of the Year is a 2013 dance drama film centered on an international breakdancing competition, featuring Laz Alonso among its cast.
 E1305753 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: Battle of the Year | Statement: [Laz Alonso, notableWork, Battle of the Year]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Battle of the Year
Context triple: [Laz Alonso, notableWork, Battle of the Year]
  • A. Battle of the Bands
    Battle of the Bands is a competitive live music event where multiple bands perform to win judges’ or audience approval, often featured as a climactic contest in rock and youth culture stories.
  • B. Showdown
    Showdown is a climactic segment or episode within "The E.N.D." that serves as a decisive confrontation or resolution point in the work’s narrative.
  • C. Showdown
    "Showdown" is a song featured on the album *In the Zone* by American pop singer Britney Spears.
  • D. Showdown
    Showdown is the fiercely contested Australian Football League derby between the Port Adelaide Football Club and the Adelaide Crows.
  • E. Backyard Brawl
    Backyard Brawl is the long-standing, intense college sports rivalry between West Virginia University and the University of Pittsburgh.
  • 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: Battle of the Year
Triple: [Laz Alonso, notableWork, Battle of the Year]
Generated description
Battle of the Year is a 2013 dance drama film centered on an international breakdancing competition, featuring Laz Alonso among its cast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Battle of the Year
Target entity description: Battle of the Year is a 2013 dance drama film centered on an international breakdancing competition, featuring Laz Alonso among its cast.
  • A. Battle of the Bands
    Battle of the Bands is a competitive live music event where multiple bands perform to win judges’ or audience approval, often featured as a climactic contest in rock and youth culture stories.
  • B. Showdown
    Showdown is a climactic segment or episode within "The E.N.D." that serves as a decisive confrontation or resolution point in the work’s narrative.
  • C. Showdown
    Showdown is the fiercely contested Australian Football League derby between the Port Adelaide Football Club and the Adelaide Crows.
  • D. Showdown
    "Showdown" is a song featured on the album *In the Zone* by American pop singer Britney Spears.
  • E. Backyard Brawl
    Backyard Brawl is the long-standing, intense college sports rivalry between West Virginia University and the University of Pittsburgh.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fa080081909e1a05e98185a026 completed April 19, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035d8d4ab881909b2ebe0b933e3b97 completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a0360cc5d648190bd7d7d756f662046 completed May 12, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_6a03616317548190a09b0df1c9d6d303 completed May 12, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:27 a.m.