Triple

T17186203
Position Surface form Disambiguated ID Type / Status
Subject Drums and Guns E417114 entity
Predicate hasTrack P3284 FINISHED
Object Dragonfly E638921 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: Dragonfly | Statement: [Drums and Guns, hasTrack, Dragonfly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dragonfly
Context triple: [Drums and Guns, hasTrack, Dragonfly]
  • A. Dragonfly
    Dragonfly is a planned NASA rotorcraft lander mission designed to explore the surface and atmosphere of Saturn’s moon Titan to study its prebiotic chemistry and habitability.
  • B. Dragonfly
    "Dragonfly" is a 2002 supernatural drama film starring Kevin Costner as a grieving doctor who begins receiving mysterious messages he believes are from his late wife.
  • C. Dragonfly chosen
    "Dragonfly" is a 2003 reggae album by Ziggy Marley that blends socially conscious lyrics with a modern roots sound.
  • D. Dragonfly
    Dragonfly is a character in Maurice Ravel and Colette’s lyric fantasy opera *L’enfant et les sortilèges*, appearing as one of the magically animated creatures that confront the mischievous child.
  • E. Motten
    Motten is a small municipality in northern Bavaria, Germany, situated in the Rhön Mountains and known for its rural character and scenic surroundings.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d962b988190bdbba81ac63c7e6e completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fce16688190976d3760898ca5d8 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.