Triple

T9393729
Position Surface form Disambiguated ID Type / Status
Subject Stanley Myers E226089 entity
Predicate notableWork P4 FINISHED
Object Cavatina E226090 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: Cavatina | Statement: [Stanley Myers, notableWork, Cavatina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavatina
Context triple: [Stanley Myers, notableWork, Cavatina]
  • A. Cavatina chosen
    Cavatina is a lyrical classical guitar piece by Stanley Myers, widely known as the haunting main theme from the film "The Deer Hunter."
  • B. Cavatina
    Cavatina is the deeply expressive, lyrical slow movement from Beethoven’s String Quartet No. 13 in B-flat major, Op. 130, renowned for its emotional intensity and poignancy.
  • C. Song of Seven
    "Song of Seven" is a 1980 progressive rock solo album by Jon Anderson, blending spiritual themes with lush, melodic arrangements.
  • D. Lyndanisse
    Lyndanisse is the historical name for the area of present-day Tallinn, Estonia, known as the site of a pivotal 13th-century battle between Danish forces and local Estonian tribes.
  • E. Music of Truth
    Music of Truth is the official motto of Hindu College, Delhi, reflecting its emphasis on the pursuit and expression of truth through knowledge and learning.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd511150008190be04142e477e8bf1 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10108cd0c8190a38ee2325d3475ce completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:45 p.m.