Triple

T1330102
Position Surface form Disambiguated ID Type / Status
Subject Dean E28621 entity
Predicate hasNotableBearer P458 FINISHED
Object Dean Martin E104860 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: Dean Martin | Statement: [Dean, hasNotableBearer, Dean Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dean Martin
Context triple: [Dean, hasNotableBearer, Dean Martin]
  • A. Dean Martin chosen
    Dean Martin was an American singer, actor, and comedian famed for his smooth baritone voice, laid-back charm, and prominent roles in film, television, and the Rat Pack.
  • B. Bing Crosby
    Bing Crosby was an American singer and actor whose smooth baritone voice and laid-back style made him one of the most popular and influential entertainers of the 20th century.
  • C. Danny Thomas
    Danny Thomas was an American comedian, actor, and producer best known for creating and starring in the sitcom "Make Room for Daddy" and for founding St. Jude Children’s Research Hospital.
  • D. Danny Kaye
    Danny Kaye was an American actor, comedian, singer, and dancer renowned for his energetic performances in films and on stage during the mid-20th century.
  • E. Bob Hope
    Bob Hope was a British-American comedian and actor renowned for his quick wit, countless USO shows entertaining troops, and a long film and television career spanning much of the 20th century.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c449bc8190acb6603a0ddac7fd completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47654288190851579e84c36ceac completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:55 p.m.