Triple

T11464588
Position Surface form Disambiguated ID Type / Status
Subject The Big Parade E271747 entity
Predicate musicBy P1952 FINISHED
Object William Axt E214431 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: William Axt | Statement: [The Big Parade, musicBy, William Axt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Axt
Context triple: [The Big Parade, musicBy, William Axt]
  • A. William Axt chosen
    William Axt was an American composer and conductor best known for his orchestral scores for early Hollywood silent and sound films.
  • B. Charles J. Hitch
    Charles J. Hitch was an American economist and defense analyst who served as president of the University of California after a prominent career in government and academia.
  • C. John A. Cherberg
    John A. Cherberg was a long-serving Washington State politician and former college football coach who became the state’s longest-tenured lieutenant governor.
  • D. George A. Bermann
    George A. Bermann is a prominent American legal scholar and expert in international and comparative law, particularly known for his work in international arbitration.
  • E. Sidney R. Yates
    Sidney R. Yates was a long-serving U.S. Congressman from Illinois known for his advocacy of the arts, environmental conservation, and social welfare programs.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f488248190b9f603cd31c72174 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a82a0cf48190a201a533c7387512 completed May 3, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:35 p.m.