Triple

T13709304
Position Surface form Disambiguated ID Type / Status
Subject Can't Buy Me Love E328727 entity
Predicate writer P1360 FINISHED
Object Michael Swerdlick E876900 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: Michael Swerdlick | Statement: [Can't Buy Me Love, writer, Michael Swerdlick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Swerdlick
Context triple: [Can't Buy Me Love, writer, Michael Swerdlick]
  • A. Michael Swerdlick chosen
    Michael Swerdlick is a screenwriter best known for his work on the teen romantic comedy film "Love Don't Cost a Thing."
  • B. Sidney Salkow
    Sidney Salkow was an American film and television director known for his work on mid-20th-century Westerns, adventure films, and genre pictures.
  • C. Edmund Meisel
    Edmund Meisel was a German composer best known for his pioneering, politically charged film scores for silent cinema, particularly his work on Soviet montage films.
  • D. Albert Mannheimer
    Albert Mannheimer was an American screenwriter best known for his Academy Award–nominated screenplay for the classic 1950 film "Born Yesterday."
  • E. Alfred Teitelbaum
    Alfred Teitelbaum, better known as Alfred Tarski, was a Polish-American logician and mathematician renowned for his foundational work in model theory, formal semantics, and the concept of truth in formalized languages.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7ca3e348190a75c1dd8aec73a40 completed May 9, 2026, 4:27 a.m.
Created at: April 9, 2026, 9:54 p.m.