Triple

T13725880
Position Surface form Disambiguated ID Type / Status
Subject Thank Me Later E329151 entity
Predicate hasPart P35 FINISHED
Object Fireworks E163322 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: Fireworks | Statement: [Thank Me Later, hasPart, Fireworks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fireworks
Context triple: [Thank Me Later, hasPart, Fireworks]
  • A. Fireworks chosen
    Fireworks is a discontinued bitmap and vector graphics editor developed by Macromedia (later Adobe) that was widely used for creating and optimizing web graphics and user interface designs.
  • B. Firework
    "Firework" is a 2010 pop anthem by Katy Perry known for its uplifting message of self-empowerment and its colorful, visually striking music video.
  • C. Firecracker
    Firecracker is a lightweight, open-source virtualization technology developed by AWS for running secure, multi-tenant container and function workloads using microVMs.
  • D. 4th of July (Fireworks)
    "4th of July (Fireworks)" is a dance-pop and electronic single by American singer Kelis, released from her 2010 album "Flesh Tone."
  • E. Firecrackers
    Firecrackers is a 1925 novel by Carl Van Vechten that satirically portrays the hedonistic, bohemian social life of Jazz Age New York.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f63c1c8190a7d0b84f319aa99b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a84a2ed481909005720b0531e585 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:55 p.m.