Triple

T16675574
Position Surface form Disambiguated ID Type / Status
Subject Peepshow E405207 entity
Predicate hasPart P35 FINISHED
Object Burn-Up
Burn-Up is a Japanese anime series known for its action-comedy storyline centered on an all-female police or special operations team.
 E1226673 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: Burn-Up | Statement: [Peepshow, hasPart, Burn-Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burn-Up
Context triple: [Peepshow, hasPart, Burn-Up]
  • A. The Burn
    The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
  • B. Burning Up
    "Burning Up" is an early Madonna single that helped establish her as a rising pop and dance music star in the 1980s.
  • C. Burning Up
    "Burning Up" is a reggae/dancehall song by Jamaican artist Sizzla, known for its energetic delivery and socially conscious lyrics.
  • D. Burn On
    "Burn On" is a song by Randy Newman from his 1972 album "Sail Away," noted for its commentary on the polluted Cuyahoga River.
  • E. Burnt
    Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
  • 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: Burn-Up
Triple: [Peepshow, hasPart, Burn-Up]
Generated description
Burn-Up is a Japanese anime series known for its action-comedy storyline centered on an all-female police or special operations team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burn-Up
Target entity description: Burn-Up is a Japanese anime series known for its action-comedy storyline centered on an all-female police or special operations team.
  • A. The Burn
    The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
  • B. Burning Up
    "Burning Up" is an early Madonna single that helped establish her as a rising pop and dance music star in the 1980s.
  • C. Burning Up
    "Burning Up" is a reggae/dancehall song by Jamaican artist Sizzla, known for its energetic delivery and socially conscious lyrics.
  • D. Burn On
    "Burn On" is a song by Randy Newman from his 1972 album "Sail Away," noted for its commentary on the polluted Cuyahoga River.
  • E. Burnt
    Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6a1960819098c5e3385693a87a completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3ab8b481908b333b6a556a58d5 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008ad12b4881908a1699383846e383 completed May 10, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_6a008b6fa9dc8190999a5a20eaba931d completed May 10, 2026, 1:43 p.m.
Created at: April 10, 2026, 5:19 a.m.