Triple

T976549
Position Surface form Disambiguated ID Type / Status
Subject The Longshot EP E21065 entity
Predicate performer P1363 FINISHED
Object The Longshot E21065 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: The Longshot | Statement: [The Longshot EP, performer, The Longshot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Longshot
Context triple: [The Longshot EP, performer, The Longshot]
  • A. The Longshot chosen
    The Longshot is a punk rock side project fronted by Green Day’s Billie Joe Armstrong, known for its raw, garage-influenced sound.
  • B. En Gallop
    "En Gallop" is a song by American singer-songwriter Joanna Newsom, featured on her debut album "The Milk-Eyed Mender."
  • C. The Big Ticket
    The Big Ticket is the famous nickname of NBA Hall of Famer Kevin Garnett, known for his intense competitiveness and all-around dominance on the basketball court.
  • D. Lucky Town
    Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
  • E. Horseshoe
    Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46344048190b7a13b8f3ad9f455 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cdbd22c819084346de7e729c8a1 completed March 7, 2026, 12:41 p.m.
Created at: March 1, 2026, 7:40 p.m.