Triple

T3240918
Position Surface form Disambiguated ID Type / Status
Subject Make Mine Music E67963 entity
Predicate director P255 FINISHED
Object Hamilton Luske E183799 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: Hamilton Luske | Statement: [Make Mine Music, director, Hamilton Luske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamilton Luske
Context triple: [Make Mine Music, director, Hamilton Luske]
  • A. Hamilton Luske chosen
    Hamilton Luske was an American animator and film director best known for his work on classic Walt Disney animated features.
  • B. James Hallock
    James Hallock is an aviation and safety expert who served on the Columbia Accident Investigation Board that examined the 2003 Space Shuttle Columbia disaster.
  • C. William Hornbeck
    William Hornbeck was an influential American film editor known for his work on numerous classic Hollywood films and for helping to shape modern editing techniques.
  • D. Gene Milford
    Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
  • E. Winston Hibler
    Winston Hibler was an American screenwriter, producer, and narrator best known for his long association with Walt Disney Studios, where he contributed to classic animated features and nature documentaries.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef6430081909084589f6eea5c7e completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b2755c88190acc9bc70f1f3a53e completed March 14, 2026, 2:05 p.m.
Created at: March 8, 2026, 3:08 p.m.