Triple

T12486157
Position Surface form Disambiguated ID Type / Status
Subject Jessica Mauboy E298437 entity
Predicate notableWork P4 FINISHED
Object Burn
"Burn" is a hit R&B-pop single by Australian singer Jessica Mauboy that helped establish her as a prominent solo artist.
 E983822 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 | Statement: [Jessica Mauboy, notableWork, Burn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burn
Context triple: [Jessica Mauboy, notableWork, Burn]
  • A. Burn
    Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
  • B. Burn
    "Burn" is a hit pop and EDM-influenced song co-written and produced by Ryan Tedder, best known for being performed by British singer Ellie Goulding.
  • C. Burn
    Burn is the abbreviated name of the former Major League Soccer team Dallas Burn, now known as FC Dallas.
  • D. Burn
    Burn is a young adult fantasy novel by Patrick Ness that blends dragons, Cold War-era tensions, and themes of prejudice and destiny in a small 1950s American town.
  • E. Burning
    Burning is a critically acclaimed 2018 South Korean psychological mystery drama film directed by Lee Chang-dong, noted for its slow-burn storytelling and ambiguous, haunting narrative.
  • 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
Triple: [Jessica Mauboy, notableWork, Burn]
Generated description
"Burn" is a hit R&B-pop single by Australian singer Jessica Mauboy that helped establish her as a prominent solo artist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burn
Target entity description: "Burn" is a hit R&B-pop single by Australian singer Jessica Mauboy that helped establish her as a prominent solo artist.
  • A. Burn
    Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
  • B. Burn
    "Burn" is a hit pop and EDM-influenced song co-written and produced by Ryan Tedder, best known for being performed by British singer Ellie Goulding.
  • C. Burn
    Burn is the abbreviated name of the former Major League Soccer team Dallas Burn, now known as FC Dallas.
  • D. Burn
    Burn is a young adult fantasy novel by Patrick Ness that blends dragons, Cold War-era tensions, and themes of prejudice and destiny in a small 1950s American town.
  • E. Burning
    Burning is a critically acclaimed 2018 South Korean psychological mystery drama film directed by Lee Chang-dong, noted for its slow-burn storytelling and ambiguous, haunting narrative.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de077bc81908b5ff057a1bf2b4f completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2b5ed481909ead4f5b96d44064 completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f6401199408190ad2657802afd93c9 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f64168d23881908daee7d7cba2160d completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:56 p.m.