Triple

T15579050
Position Surface form Disambiguated ID Type / Status
Subject Game & Watch E374444 entity
Predicate notableGame P3198 FINISHED
Object Fire
Fire is a classic Game & Watch handheld title in which players juggle falling characters to safety using a moving trampoline.
E1165860 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: [Game & Watch, notableGame, Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fire
Context triple: [Game & Watch, notableGame, 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: [Game & Watch, notableGame, Fire]
Generated description
Fire is a classic Game & Watch handheld title in which players juggle falling characters to safety using a moving trampoline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fire
Target entity description: Fire is a classic Game & Watch handheld title in which players juggle falling characters to safety using a moving trampoline.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Fire
    "Fire" is a song featured in the Hall of Fame's catalog, recognized for its enduring popularity and influence.
  • E. Fire
    "Fire" is a high-energy rock song by the Jimi Hendrix Experience, celebrated for its explosive guitar work and dynamic rhythm.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e24064c8190b132c3092877fbfa completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4b3a8881909d41204a0b243461 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50ad13b88190adb51231ea967889 completed May 9, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69ff512549088190880a57fcf66914a8 completed May 9, 2026, 3:22 p.m.
Created at: April 10, 2026, 4:11 a.m.