Triple

T14881868
Position Surface form Disambiguated ID Type / Status
Subject Black Mountain E350019 entity
Predicate notableWork P4 FINISHED
Object Destroyer E611948 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: Destroyer | Statement: [Black Mountain, notableWork, Destroyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Destroyer
Context triple: [Black Mountain, notableWork, Destroyer]
  • A. Destroyer
    Destroyer is a melee-focused warrior class in the action RPG Torchlight, known for its heavy armor, powerful close-combat attacks, and tank-like durability.
  • B. Destroyer
    "Destroyer" is a 2018 crime thriller film in which Tatiana Maslany appears alongside Nicole Kidman in a gritty story of a troubled LAPD detective confronting her past.
  • C. Destroyer chosen
    Destroyer is a landmark 1976 rock album by the band Kiss, known for its polished production, theatrical sound, and hit singles like "Detroit Rock City" and "Beth."
  • D. the Destroyer
    The Destroyer is an epithet of the Titan Perses in Greek mythology, highlighting his association with ruin and destructive power.
  • E. Daring-class destroyer
    The Daring-class destroyer was a class of post–World War II British Royal Navy warships designed as large, fast, and heavily armed fleet destroyers for anti-aircraft and general escort duties.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e7c0e48190af2d68a71130585c completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b591f3c81909ea8a9217d96e0d2 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:56 a.m.