Triple

T3686640
Position Surface form Disambiguated ID Type / Status
Subject Martin Landau E78240 entity
Predicate birthName P65 FINISHED
Object Martin James Landau E78240 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: Martin James Landau | Statement: [Martin Landau, birthName, Martin James Landau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin James Landau
Context triple: [Martin Landau, birthName, Martin James Landau]
  • A. Martin Landau chosen
    Martin Landau was an American actor renowned for his versatile film and television roles, including an Oscar-winning performance as Bela Lugosi in "Ed Wood."
  • B. Seymour Cassel
    Seymour Cassel was an American character actor known for his longtime collaboration with director John Cassavetes and his roles in numerous independent and mainstream films.
  • C. Hans Conried
    Hans Conried was an American character actor and voice actor best known for his comedic and often villainous roles in mid-20th-century film, radio, television, and animation.
  • D. Michael Kane
    Michael Kane is a screenwriter best known for writing the 1983 American sports drama film "All the Right Moves."
  • E. Paul Frees
    Paul Frees was a prolific American voice actor known for his work in classic animated films, television specials, and theme park attractions, often referred to as "The Man of a Thousand Voices."
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c676748190b074abfb9ba43b49 completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdeb6c288190a52e81fcbeaeec6d completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.