Triple

T9058898
Position Surface form Disambiguated ID Type / Status
Subject Burning Bridges E217071 entity
Predicate hasPart P35 FINISHED
Object Who Would You Die For
"Who Would You Die For" is a song featured on the album "Burning Bridges" by the American rock band Bon Jovi.
 E777276 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: Who Would You Die For | Statement: [Burning Bridges, hasPart, Who Would You Die For]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Who Would You Die For
Context triple: [Burning Bridges, hasPart, Who Would You Die For]
  • A. Worth Dying For
    Worth Dying For is a thriller novel by Lee Child featuring ex-military drifter Jack Reacher as he uncovers dark secrets in a rural Nebraska community.
  • B. I’ll Die for You
    "I’ll Die for You" is a song featured on the album "Rebirth."
  • C. I’d Die for You
    "I’d Die for You" is a rock song by Bon Jovi from their hugely successful 1986 album *Slippery When Wet*.
  • D. Somebody's Gotta Die
    "Somebody's Gotta Die" is a dark, narrative-driven hip hop track by The Notorious B.I.G. that tells a cinematic revenge story.
  • E. Something to Die For
    "Something to Die For" is a political thriller novel by American author and former U.S. Senator Jim Webb, drawing on his military and government experience to explore themes of power, loyalty, and national security.
  • 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: Who Would You Die For
Triple: [Burning Bridges, hasPart, Who Would You Die For]
Generated description
"Who Would You Die For" is a song featured on the album "Burning Bridges" by the American rock band Bon Jovi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Who Would You Die For
Target entity description: "Who Would You Die For" is a song featured on the album "Burning Bridges" by the American rock band Bon Jovi.
  • A. Worth Dying For
    Worth Dying For is a thriller novel by Lee Child featuring ex-military drifter Jack Reacher as he uncovers dark secrets in a rural Nebraska community.
  • B. I’ll Die for You
    "I’ll Die for You" is a song featured on the album "Rebirth."
  • C. I’d Die for You
    "I’d Die for You" is a rock song by Bon Jovi from their hugely successful 1986 album *Slippery When Wet*.
  • D. Somebody's Gotta Die
    "Somebody's Gotta Die" is a dark, narrative-driven hip hop track by The Notorious B.I.G. that tells a cinematic revenge story.
  • E. Something to Die For
    "Something to Die For" is a political thriller novel by American author and former U.S. Senator Jim Webb, drawing on his military and government experience to explore themes of power, loyalty, and national security.
  • 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_69d0178be518819080bd6c8cf0a737e8 completed April 3, 2026, 7:39 p.m.
NEDg Description generation batch_69d01908d7b08190ab159048f25924d5 completed April 3, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69d019b9be10819091e25d5b3a8d26c1 completed April 3, 2026, 7:49 p.m.
Created at: March 30, 2026, 7:10 p.m.