Triple

T16355799
Position Surface form Disambiguated ID Type / Status
Subject Rhein Fire E397174 entity
Predicate shortName P43 FINISHED
Object Fire
Fire is a professional American football team based in Düsseldorf, Germany, competing in the European League of Football.
E1207923 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: [Rhein Fire, shortName, Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fire
Context triple: [Rhein Fire, shortName, 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 high-energy rock song by the Jimi Hendrix Experience, celebrated for its explosive guitar work and dynamic rhythm.
  • C. Fire
    "Fire" is a song by American rapper Vince Staples, known for its dark, atmospheric production and introspective lyrics.
  • D. 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.
  • E. Fire
    "Fire" is a nonfiction book by Sebastian Junger that collects his journalistic accounts of dangerous and violent events around the world.
  • 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: [Rhein Fire, shortName, Fire]
Generated description
Fire is a professional American football team based in Düsseldorf, Germany, competing in the European League of Football.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fire
Target entity description: Fire is a professional American football team based in Düsseldorf, Germany, competing in the European League of Football.
  • A. Fire
    Fire is the team nickname of the Chicago Fire franchise in the short-lived World Football League of the 1970s.
  • 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 personified, fiery character in Maurice Ravel’s opera-ballet "L’enfant et les sortilèges," embodying the destructive yet mesmerizing power of flames.
  • D. 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.
  • E. Fire
    "Fire" is a 1974 funk hit by the Ohio Players, known for its infectious groove, distinctive horn arrangements, and enduring popularity as one of the band's signature songs.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2face3a54819099418edd0eecc963 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbaacd88190b2c90c5be2832307 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002e92e840819080219d51dd6ddb34 completed May 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_6a002f171b588190b4690a28657fa76e completed May 10, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:07 a.m.