Triple

T14178449
Position Surface form Disambiguated ID Type / Status
Subject From the Fires E351390 entity
Predicate includesTrack P3284 FINISHED
Object Flower Power E1085461 NE FINISHED

How this triple was built (2 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: Flower Power | Statement: [From the Fires, includesTrack, Flower Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flower Power
Context triple: [From the Fires, includesTrack, Flower Power]
  • A. Flower Power chosen
    "Flower Power" is a rock song by the American band Greta Van Fleet, featured on their 2017 EP *Black Smoke Rising* and known for its retro, Led Zeppelin-inspired sound.
  • B. Flower Power
    Flower Power is a distinctive floral-patterned color scheme used on certain models of Apple's iMac G3 computers released in the early 2000s.
  • C. Flower
    Flower is the shy, good-natured skunk who befriends Bambi and Thumper in Disney’s 1942 animated film "Bambi."
  • D. Flower
    Flower is the debut studio album by American rock band Soundgarden, released in 1988 as part of their early grunge-era output.
  • E. Flower Path
    Flower Path is a scenic walking route on Lushan Mountain in China, celebrated for its lush floral landscapes and tranquil natural beauty.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c90abc8190a9b9dc1f50db59fa completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280656a881909c565b99e85ae9bd completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:02 a.m.