Triple

T6156945
Position Surface form Disambiguated ID Type / Status
Subject American Pie 2 E137344 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: [American Pie 2, musicBy, David Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Lawrence
Context triple: [American Pie 2, musicBy, David Lawrence]
  • A. 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.
  • B. 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."
  • C. Robert Lawrence
    Robert Lawrence was a film editor best known for his work on major Hollywood productions, including the historical epic "Spartacus" (1960).
  • D. Lawrence Guth
    Lawrence Guth is an American mathematician known for his influential work in harmonic analysis, combinatorial geometry, and incidence geometry.
  • E. George Lawrence
    George Lawrence was a 19th-century British figure best known as the brother of John Lawrence, 1st Baron Lawrence, a prominent colonial administrator in British India.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d3177588190970a45af0d43b04c completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141867fac819093a3093aa8251eac completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.