Triple

T9058570
Position Surface form Disambiguated ID Type / Status
Subject 7800° Fahrenheit E217064 entity
Predicate hasTrack P3284 FINISHED
Object To the Fire
"To the Fire" is a song featured on the album "7800° Fahrenheit" by the American rock band Bon Jovi.
E774765 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: To the Fire | Statement: [7800° Fahrenheit, hasTrack, To the Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: To the Fire
Context triple: [7800° Fahrenheit, hasTrack, To the Fire]
  • A. The Fire
    The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
  • B. The Fire Raisers
    The Fire Raisers is an English title for Max Frisch’s darkly comic play about complacency and the rise of fascism, in which a seemingly respectable citizen naively harbors arsonists in his home.
  • C. From the Fires
    From the Fires is a 2017 double EP by American rock band Greta Van Fleet that helped launch them to mainstream attention with its retro, Led Zeppelin-inspired sound.
  • D. The Fire Inside
    The Fire Inside is a 1991 rock album by American singer-songwriter Bob Seger, known for its heartland rock sound and reflective, narrative-driven songs.
  • E. The Fire Inside
    The Fire Inside is a nonfiction book by Steve Delsohn that explores the lives, challenges, and culture of firefighters.
  • 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: To the Fire
Triple: [7800° Fahrenheit, hasTrack, To the Fire]
Generated description
"To the Fire" is a song featured on the album "7800° Fahrenheit" by the American rock band Bon Jovi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: To the Fire
Target entity description: "To the Fire" is a song featured on the album "7800° Fahrenheit" by the American rock band Bon Jovi.
  • A. The Fire
    The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
  • B. The Fire Raisers
    The Fire Raisers is an English title for Max Frisch’s darkly comic play about complacency and the rise of fascism, in which a seemingly respectable citizen naively harbors arsonists in his home.
  • C. From the Fires
    From the Fires is a 2017 double EP by American rock band Greta Van Fleet that helped launch them to mainstream attention with its retro, Led Zeppelin-inspired sound.
  • D. The Fire Inside
    The Fire Inside is a 1991 rock album by American singer-songwriter Bob Seger, known for its heartland rock sound and reflective, narrative-driven songs.
  • E. The Fire Inside
    The Fire Inside is a nonfiction book by Steve Delsohn that explores the lives, challenges, and culture of firefighters.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ec924f481908ca2eac98c68a41d completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebe40ec08190a1da2aa1c6577723 completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfee44642c8190af2dbd69a974d455 completed April 3, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_69cfeec0d43c81909013f5a1dd49e133 completed April 3, 2026, 4:45 p.m.
Created at: March 30, 2026, 7:10 p.m.