Triple

T16751076
Position Surface form Disambiguated ID Type / Status
Subject Ted McGinley E407078 entity
Predicate birthName P65 FINISHED
Object Theodore Martin McGinley E1206983 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: Theodore Martin McGinley | Statement: [Ted McGinley, birthName, Theodore Martin McGinley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodore Martin McGinley
Context triple: [Ted McGinley, birthName, Theodore Martin McGinley]
  • A. Theodore Martin McGinley chosen
    Theodore Martin McGinley is an American actor best known for his roles on television series such as "Married... with Children," "Happy Days," and "Revenge of the Nerds."
  • B. Albert Hay Malotte
    Albert Hay Malotte was an American composer best known for his musical settings for Disney films and for his popular musical arrangement of "The Lord's Prayer."
  • C. Luther Cressman
    Luther Cressman was an American archaeologist and anthropologist best known for his pioneering work on early human habitation in the Pacific Northwest of the United States.
  • D. John B. Muns
    John B. Muns is an American local politician who serves as the mayor of Plano, Texas.
  • E. William H. Gleason
    William H. Gleason was an American politician and businessman active in the 19th century, notably involved in Florida’s development and governance during the Reconstruction era.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa271de48190b4a535408aeef734 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52402848190b029cb0be31b4c74 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.