Triple

T19665393
Position Surface form Disambiguated ID Type / Status
Subject Oh Mercy E472185 entity
Predicate hasTrack P3284 FINISHED
Object Shooting Star E1078363 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: Shooting Star | Statement: [Oh Mercy, hasTrack, Shooting Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shooting Star
Context triple: [Oh Mercy, hasTrack, Shooting Star]
  • A. Shooting Star
    The Aichi B7A "Shooting Star" was a Japanese World War II carrier-capable torpedo-dive bomber designed for the Imperial Japanese Navy.
  • B. Shooting Star chosen
    "Shooting Star" is a pop-rock song by Owl City, featured on his 2012 album *The Midsummer Station*.
  • C. Shooting Star
    "Shooting Star" is an Overwatch animated short focusing on the mech-piloting hero D.Va, showcasing her backstory and heroism in Busan.
  • D. Shooting Star
    "Shooting Star" is a crime novel by Australian author Peter Temple, known for its gritty realism and tightly plotted suspense.
  • E. Shooting Star
    Shooting Star is the NATO reporting name for the Lockheed F-80, one of the first operational jet fighter aircraft used by the United States Air Force, notably during the early stages of the Korean War.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416857c88190acb3adbf3e585fe5 completed April 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787b8bb748190bd8aad409b823431 completed May 15, 2026, 8:53 p.m.
Created at: April 10, 2026, 1:45 p.m.