Triple

T16287660
Position Surface form Disambiguated ID Type / Status
Subject Take Me to the Alley E395430 entity
Predicate hasPart P35 FINISHED
Object Fan the Flames
"Fan the Flames" is a track from Gregory Porter's acclaimed jazz-soul album "Take Me to the Alley."
E1203965 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: Fan the Flames | Statement: [Take Me to the Alley, hasPart, Fan the Flames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fan the Flames
Context triple: [Take Me to the Alley, hasPart, Fan the Flames]
  • A. Set Fire to Flames
    Set Fire to Flames is a Canadian experimental post-rock collective known for its atmospheric, improvisational recordings and ties to members of Godspeed You! Black Emperor and related Montreal bands.
  • B. Up in Flames
    "Up in Flames" is a mellow, piano-driven ballad by Coldplay featured on their concept album "Mylo Xyloto."
  • C. Going Down in Flames
    "Going Down in Flames" is a rock song by 3 Doors Down featured on their album "Away from the Sun."
  • D. Feed the Fire
    Feed the Fire is a song by the American punk rock band Passwords.
  • E. Fuel for the Flame
    Fuel for the Flame is a novel by British writer Alec Waugh, known for its exploration of personal relationships and social mores in mid-20th-century settings.
  • 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: Fan the Flames
Triple: [Take Me to the Alley, hasPart, Fan the Flames]
Generated description
"Fan the Flames" is a track from Gregory Porter's acclaimed jazz-soul album "Take Me to the Alley."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fan the Flames
Target entity description: "Fan the Flames" is a track from Gregory Porter's acclaimed jazz-soul album "Take Me to the Alley."
  • A. Set Fire to Flames
    Set Fire to Flames is a Canadian experimental post-rock collective known for its atmospheric, improvisational recordings and ties to members of Godspeed You! Black Emperor and related Montreal bands.
  • B. Up in Flames
    "Up in Flames" is a mellow, piano-driven ballad by Coldplay featured on their concept album "Mylo Xyloto."
  • C. Going Down in Flames
    "Going Down in Flames" is a rock song by 3 Doors Down featured on their album "Away from the Sun."
  • D. Feed the Fire
    Feed the Fire is a song by the American punk rock band Passwords.
  • E. Fuel for the Flame
    Fuel for the Flame is a novel by British writer Alec Waugh, known for its exploration of personal relationships and social mores in mid-20th-century settings.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24915a5948190a11b8e83b7974dda completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017caaa448190a5034ddbd90d2fd5 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a0018951f888190b70e098e4af3a90a completed May 10, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a00190887088190a5a0eb2cfd674c98 completed May 10, 2026, 5:35 a.m.
Created at: April 10, 2026, 5:05 a.m.