Triple

T7832374
Position Surface form Disambiguated ID Type / Status
Subject Sebastian Junger E181603 entity
Predicate notableWork P4 FINISHED
Object Fire
"Fire" is a nonfiction book by Sebastian Junger that collects his journalistic accounts of dangerous and violent events around the world.
 E699306 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: Fire | Statement: [Sebastian Junger, notableWork, Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fire
Context triple: [Sebastian Junger, notableWork, Fire]
  • A. Fire
    "Fire" is a section of Maxine Hong Kingston's book *The Fifth Book of Peace* that blends memoir and fiction to explore themes of war, loss, and the search for peace.
  • B. Fire
    "Fire" is a song by American rapper Vince Staples, known for its dark, atmospheric production and introspective lyrics.
  • C. Fire
    "Fire" is a high-energy rock song by the Jimi Hendrix Experience, celebrated for its explosive guitar work and dynamic rhythm.
  • D. Fire
    "Fire" is a pop-rock song by American singer-songwriter Gavin DeGraw, known for its soulful vocals and radio-friendly, anthemic style.
  • E. Fire
    "Fire" is a psychedelic hip-hop track by the duo Kids See Ghosts (Kanye West and Kid Cudi), known for its energetic production and themes of inner turmoil and resilience.
  • 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: Fire
Triple: [Sebastian Junger, notableWork, Fire]
Generated description
"Fire" is a nonfiction book by Sebastian Junger that collects his journalistic accounts of dangerous and violent events around the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fire
Target entity description: "Fire" is a nonfiction book by Sebastian Junger that collects his journalistic accounts of dangerous and violent events around the world.
  • A. Fire
    "Fire" is a section of Maxine Hong Kingston's book *The Fifth Book of Peace* that blends memoir and fiction to explore themes of war, loss, and the search for peace.
  • B. Fire
    "Fire" is a song by American rapper Vince Staples, known for its dark, atmospheric production and introspective lyrics.
  • C. Fire
    "Fire" is a psychedelic hip-hop track by the duo Kids See Ghosts (Kanye West and Kid Cudi), known for its energetic production and themes of inner turmoil and resilience.
  • D. Fire
    "Fire" is a high-energy rock song by the Jimi Hendrix Experience, celebrated for its explosive guitar work and dynamic rhythm.
  • E. Fire
    Fire is a groundbreaking 1996 Indian film by Deepa Mehta that explores a taboo same-sex relationship between two women within a traditional family, sparking major cultural and political controversy in India.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb0648bb308190a34fbcd81ff6fda2 completed March 30, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a906b908190a204779950555edc completed March 31, 2026, 5:24 a.m.
NEDg Description generation batch_69cb762ce6208190a24438e26ae83785 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb615dc248190b57b4fc7c430517f completed March 31, 2026, 11:55 a.m.
Created at: March 30, 2026, 4:45 p.m.