Triple

T6300039
Position Surface form Disambiguated ID Type / Status
Subject Lee Tracy E141229 entity
Predicate name P16 FINISHED
Object Lee Tracy E141229 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: Lee Tracy | Statement: [Lee Tracy, name, Lee Tracy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Tracy
Context triple: [Lee Tracy, name, Lee Tracy]
  • A. Lee Tracy chosen
    Lee Tracy was an American stage and film actor best known for his rapid-fire delivery and portrayals of fast-talking reporters and politicians in early 20th-century cinema.
  • B. Hattie Shaw
    Hattie Shaw is a skilled MI6 field agent and the sister of Deckard Shaw in the Fast & Furious franchise, prominently featured in "Fast & Furious Presents: Hobbs & Shaw."
  • C. Louise Glaum
    Louise Glaum was a prominent American silent film actress of the 1910s and early 1920s, best known for her sophisticated "vamp" roles in melodramas.
  • D. Nelson Eddy
    Nelson Eddy was a popular American baritone singer and film actor best known for his musical films of the 1930s and 1940s, particularly his collaborations with Jeanette MacDonald.
  • E. Myrna Dell
    Myrna Dell was an American film and television actress known for her roles in 1940s and 1950s Hollywood productions, particularly in film noir and B-movies.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645a7e048190af7a609fc74b876a completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e427de4481909f1cad8fae93bc42 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:27 p.m.