Triple

T10381376
Position Surface form Disambiguated ID Type / Status
Subject David Langford E244647 entity
Predicate notableWork P4 FINISHED
Object Slow Burn
"Slow Burn" is a science fiction work by British critic and author David Langford, known for his sharp wit and inventive speculative ideas.
 E859613 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: Slow Burn | Statement: [David Langford, notableWork, Slow Burn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slow Burn
Context triple: [David Langford, notableWork, Slow Burn]
  • A. Slow Burn
    Slow Burn is a critically acclaimed Slate narrative podcast that revisits major political and cultural scandals in American history with deep, serialized reporting.
  • B. Slow Burn
    "Slow Burn" is a critically acclaimed, introspective country-pop song by Kacey Musgraves that opens her album "Golden Hour" and reflects on taking life at an unhurried, reflective pace.
  • C. Burn Slow
    "Burn Slow" is a track by experimental electronic musician Mudboy, known for his lo-fi, atmospheric soundscapes.
  • D. Slow Show
    "Slow Show" is a reflective, emotionally charged indie rock song by The National from their acclaimed 2007 album *Boxer*.
  • E. Slow and Low
    "Slow and Low" is a hard-hitting, old-school hip hop track by the Beastie Boys, known for its heavy beats, shouted vocals, and party-centric lyrics.
  • 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: Slow Burn
Triple: [David Langford, notableWork, Slow Burn]
Generated description
"Slow Burn" is a science fiction work by British critic and author David Langford, known for his sharp wit and inventive speculative ideas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slow Burn
Target entity description: "Slow Burn" is a science fiction work by British critic and author David Langford, known for his sharp wit and inventive speculative ideas.
  • A. Slow Burn
    Slow Burn is a critically acclaimed Slate narrative podcast that revisits major political and cultural scandals in American history with deep, serialized reporting.
  • B. Slow Burn
    "Slow Burn" is a critically acclaimed, introspective country-pop song by Kacey Musgraves that opens her album "Golden Hour" and reflects on taking life at an unhurried, reflective pace.
  • C. Burn Slow
    "Burn Slow" is a track by experimental electronic musician Mudboy, known for his lo-fi, atmospheric soundscapes.
  • D. Slow Show
    "Slow Show" is a reflective, emotionally charged indie rock song by The National from their acclaimed 2007 album *Boxer*.
  • E. Slow and Low
    "Slow and Low" is a hard-hitting, old-school hip hop track by the Beastie Boys, known for its heavy beats, shouted vocals, and party-centric lyrics.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9921fa48190a874aa9a9e385b97 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79592512c8190b999191f16e3133c completed April 9, 2026, 12:03 p.m.
NEDg Description generation batch_69d7982916b48190a50893a79ac522e9 completed April 9, 2026, 12:14 p.m.
NED2 Entity disambiguation (via description) batch_69d7991e01d88190bc460d984b796d64 completed April 9, 2026, 12:18 p.m.
Created at: April 6, 2026, 12:03 p.m.