Triple

T7672780
Position Surface form Disambiguated ID Type / Status
Subject High School Musical E173786 entity
Predicate musicBy P1952 FINISHED
Object David Lawrence E556135 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: David Lawrence | Statement: [High School Musical, musicBy, David Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Lawrence
Context triple: [High School Musical, musicBy, David Lawrence]
  • A. David Lawrence chosen
    David Lawrence is an American composer and arranger known for his work on film and television scores, including contributions to projects like "American Pie."
  • B. David Lawrence
    David Lawrence was an American journalist and magazine editor best known as the founder of the news magazine U.S. News & World Report.
  • C. Arthur Dunn
    Arthur Dunn was an English educator and former footballer best known for establishing the prestigious preparatory institution Ludgrove School.
  • D. William Bowers
    William Bowers was an American screenwriter known for his sharp, witty scripts in mid-20th-century Hollywood crime films and comedies.
  • E. Robert Lawrence
    Robert Lawrence was a film editor best known for his work on major Hollywood productions, including the historical epic "Spartacus" (1960).
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701de94208190a7627521211452dc completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a22f74f481909498391bfaf23428 completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4 p.m.