Triple

T11464963
Position Surface form Disambiguated ID Type / Status
Subject Street Scene E271755 entity
Predicate castMember P1668 FINISHED
Object David Landau E901767 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: David Landau | Statement: [Street Scene, castMember, David Landau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Landau
Context triple: [Street Scene, castMember, David Landau]
  • A. David Landau chosen
    David Landau was an American character actor of the early 20th century, known for his tough, authoritative roles in stage and film productions.
  • B. Jason Landau
    Jason Landau is an American actor and entrepreneur best known to the public as the husband of Broadway and television star Cheyenne Jackson.
  • C. Jesse Landau
    Jesse Landau is known primarily as the child of acclaimed American film producer Jon Landau, associated with blockbuster films like Titanic and Avatar.
  • D. Richard Landau
    Richard Landau was an American screenwriter known for his work on mid-20th-century genre films and television, particularly in science fiction and crime.
  • E. Jody Landau
    Jody Landau is known primarily as the child of acclaimed American film producer Jon Landau, who worked closely with director James Cameron on major blockbuster films.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef12c1cd048190b58410542005acbc completed April 27, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:35 p.m.