Triple

T6334739
Position Surface form Disambiguated ID Type / Status
Subject Facelift E142463 entity
Predicate notableSingle P3283 FINISHED
Object Sea of Sorrow E585957 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: Sea of Sorrow | Statement: [Facelift, notableSingle, Sea of Sorrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sea of Sorrow
Context triple: [Facelift, notableSingle, Sea of Sorrow]
  • A. Sea of Sorrow chosen
    "Sea of Sorrow" is a dark, heavy grunge track by Alice in Chains, featured on their influential 1990 album *Facelift*.
  • B. Orange Order
    The Orange Order is a Protestant fraternal organization originating in Ireland, known for promoting unionism and organizing parades, particularly in Northern Ireland.
  • C. Omnium Gatherum
    Omnium Gatherum is a satirical stage play co-written by Theresa Rebeck that critiques post-9/11 American culture and politics through a darkly comic dinner-party setting.
  • D. Medeus
    Medeus is a character known as one of the children of Jason, sharing in the mythological legacy surrounding the hero’s family.
  • E. In Flames
    In Flames is a pioneering Swedish metal band widely credited with shaping the Gothenburg melodic death metal sound and influencing modern metal worldwide.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06549084c8190b73fd94c9e0cb302 completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d412bc88190aa8ee0a40ec8bc30 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:30 p.m.