Triple

T16122885
Position Surface form Disambiguated ID Type / Status
Subject Alex G E391188 entity
Predicate hasDiscographyItem P1995 FINISHED
Object God Save the Animals E1196856 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: God Save the Animals | Statement: [Alex G, hasDiscographyItem, God Save the Animals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: God Save the Animals
Context triple: [Alex G, hasDiscographyItem, God Save the Animals]
  • A. God Save the Animals chosen
    God Save the Animals is a critically acclaimed 2022 indie rock album by American musician Alex G, noted for its experimental production and introspective songwriting.
  • B. Party for the Animals
    The Party for the Animals is a Dutch political party that focuses primarily on animal rights, environmental protection, and sustainability.
  • C. Talk to the Animals
    "Talk to the Animals" is an Academy Award-winning song from the 1967 musical film Doctor Dolittle, best known for its whimsical lyrics about conversing with animals.
  • D. Livin' Thing
    "Livin' Thing" is a 1976 symphonic rock song by Electric Light Orchestra, known for its lush string arrangements and catchy, upbeat melody.
  • E. God Save Us All
    "God Save Us All" is a song by American rock musician Lenny Kravitz.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e202027e78819091192aa62aedde13 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79ecea0819083aa5cb676d49f64 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5 a.m.