Triple

T428815
Position Surface form Disambiguated ID Type / Status
Subject Burn Gorman E9669 entity
Predicate givenName P17 FINISHED
Object 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."
 E53903 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: [Burn Gorman, givenName, Burn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burn
Context triple: [Burn Gorman, givenName, Burn]
  • A. On Fire
    On Fire is a nonfiction book by Naomi Klein that explores the climate crisis and advocates for transformative, justice-centered solutions such as a Green New Deal.
  • B. The Fire
    The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
  • C. FIRE
    FIRE is a near-infrared spectrograph instrument used on large astronomical telescopes to study celestial objects at infrared wavelengths.
  • D. Firestorm
    Firestorm is Apple’s high-performance ARM CPU core design used in the M1 chip to deliver fast, power-efficient processing.
  • E. Our House Is on Fire
    "Our House Is on Fire" is a memoir and call-to-action co-written by climate activist Greta Thunberg and her family, detailing their personal journey and the urgency of the global climate crisis.
  • 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: [Burn Gorman, givenName, Burn]
Generated description
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."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burn
Target entity description: 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."
  • A. On Fire
    On Fire is a nonfiction book by Naomi Klein that explores the climate crisis and advocates for transformative, justice-centered solutions such as a Green New Deal.
  • B. The Fire
    The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
  • C. FIRE
    FIRE is a near-infrared spectrograph instrument used on large astronomical telescopes to study celestial objects at infrared wavelengths.
  • D. Firestorm
    Firestorm is Apple’s high-performance ARM CPU core design used in the M1 chip to deliver fast, power-efficient processing.
  • E. Our House Is on Fire
    "Our House Is on Fire" is a memoir and call-to-action co-written by climate activist Greta Thunberg and her family, detailing their personal journey and the urgency of the global climate crisis.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eeecb64c81908c5c83ef7c0181e6 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f67dc3881908d4b1c2f1fbc2aaa completed March 1, 2026, 12:22 p.m.
NEDg Description generation batch_69a42fdc1edc81908a8c0b82482a9af2 completed March 1, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_69a4304138bc81909e524ff2567b82b3 completed March 1, 2026, 12:25 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.