Triple

T22130013
Position Surface form Disambiguated ID Type / Status
Subject Hardwired… to Self-Destruct E546881 entity
Predicate nextWork P9710 FINISHED
Object 72 Seasons NE NERFINISHED

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: 72 Seasons | Statement: [Hardwired… to Self-Destruct, nextWork, 72 Seasons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 72 Seasons
Context triple: [Hardwired… to Self-Destruct, nextWork, 72 Seasons]
  • A. 72 Seasons chosen
    72 Seasons is a 2023 studio album by American heavy metal band Metallica, showcasing their signature thrash-influenced sound with themes of youth, identity, and emotional struggle.
  • B. Different Seasons
    Different Seasons is a 1982 collection of four novellas by Stephen King, notable for including the stories that inspired the films The Shawshank Redemption, Stand by Me, and Apt Pupil.
  • C. Five Seasons
    Five Seasons is a novel by Israeli author A.B. Yehoshua that follows a widower’s emotional and spiritual journey through the changing seasons of his life.
  • D. Saison
    Saison is a river in the French Basque Country, known as a tributary of the Gave d'Oloron in southwestern France.
  • E. Seasons
    "Seasons" is a song by Chris Cornell, known for its acoustic, introspective style and for appearing on the soundtrack of the film Singles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129851db8819082d50bbb73670bf6 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:32 p.m.