Triple

T21877625
Position Surface form Disambiguated ID Type / Status
Subject Pull Away / So Many Times E540189 entity
Predicate partOfAlbum P35 FINISHED
Object Hard Attack 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: Hard Attack | Statement: [Pull Away / So Many Times, partOfAlbum, Hard Attack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hard Attack
Context triple: [Pull Away / So Many Times, partOfAlbum, Hard Attack]
  • A. Hard Attack chosen
    Hard Attack is a 1972 hard rock/proto-metal album by the American band Dust, noted for its heavy riffs and early influence on the genre.
  • B. Hard
    Hard is a studio album by American R&B group Jagged Edge, showcasing their smooth harmonies and contemporary R&B sound.
  • C. Hard Four
    Hard Four is a 2007 independent comedy film featuring Paula Prentiss in one of her later screen roles.
  • D. HARD
    HARD is the commonly used acronym for the Hayward Area Recreation and Park District, a public agency that manages parks and recreational facilities in the Hayward, California area.
  • E. Harder
    Harder is a mountain ridge and popular viewpoint above Interlaken in the Bernese Oberland region of Switzerland.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33c012c819096d0f7b2ffdc7a2f completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:02 p.m.