Triple

T10027573
Position Surface form Disambiguated ID Type / Status
Subject Passwords E200768 entity
Predicate track P17929 FINISHED
Object Feed the Fire
Feed the Fire is a song by the American punk rock band Passwords.
 E835014 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: Feed the Fire | Statement: [Passwords, track, Feed the Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Feed the Fire
Context triple: [Passwords, track, Feed the Fire]
  • A. Through the Fire
    "Through the Fire" is a 1984 soulful R&B ballad by Chaka Khan, renowned for its powerful vocals and enduring popularity as one of her signature songs.
  • B. Keep Up the Fire
    "Keep Up the Fire" is the historic motto of the U.S. 9th Infantry Regiment, reflecting its tradition of perseverance and aggressive combat spirit.
  • C. Feel the Fire
    "Feel the Fire" is a soulful R&B ballad popularized by Peabo Bryson that became one of his signature songs in the late 1970s.
  • D. Playing with Fire
    Playing with Fire is a psychological suspense novel by Tess Gerritsen that intertwines a modern mystery with a haunting historical narrative centered around a disturbing piece of music.
  • E. Playing with Fire
    Playing with Fire is the debut rap album by American entertainer Kevin Federline, released in 2006 to widespread negative reviews and media attention.
  • 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: Feed the Fire
Triple: [Passwords, track, Feed the Fire]
Generated description
Feed the Fire is a song by the American punk rock band Passwords.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Feed the Fire
Target entity description: Feed the Fire is a song by the American punk rock band Passwords.
  • A. Through the Fire
    "Through the Fire" is a 1984 soulful R&B ballad by Chaka Khan, renowned for its powerful vocals and enduring popularity as one of her signature songs.
  • B. Keep Up the Fire
    "Keep Up the Fire" is the historic motto of the U.S. 9th Infantry Regiment, reflecting its tradition of perseverance and aggressive combat spirit.
  • C. Feel the Fire
    "Feel the Fire" is a soulful R&B ballad popularized by Peabo Bryson that became one of his signature songs in the late 1970s.
  • D. Playing with Fire
    Playing with Fire is a psychological suspense novel by Tess Gerritsen that intertwines a modern mystery with a haunting historical narrative centered around a disturbing piece of music.
  • E. Playing with Fire
    Playing with Fire is the debut rap album by American entertainer Kevin Federline, released in 2006 to widespread negative reviews and media attention.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde3c1b88190924e6158f406b453 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ac9cdfc8190b91746855bf3de12 completed April 5, 2026, 1:59 p.m.
NEDg Description generation batch_69d26b9db3f88190bea466c91e16ca59 completed April 5, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69d26c2344f4819084e473a27b7f274d completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:54 p.m.