Triple

T21398841
Position Surface form Disambiguated ID Type / Status
Subject Salome, Where She Danced E527857 entity
Predicate stars P1956 FINISHED
Object Albert Dekker NE NERFINISHED

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: Albert Dekker | Statement: [Salome, Where She Danced, stars, Albert Dekker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Dekker
Context triple: [Salome, Where She Danced, stars, Albert Dekker]
  • A. Albert Dekker chosen
    Albert Dekker was an American character actor known for his prolific film, stage, and television career from the 1930s to the 1960s, often playing complex or villainous roles.
  • B. Robert Eenhoorn
    Robert Eenhoorn is a former Dutch professional baseball player and coach who became a sports executive and now serves in football administration.
  • C. Peter De Vries
    Peter De Vries was an American novelist and humorist known for his witty, satirical fiction and contributions to The New Yorker.
  • D. Dick Dusseldorp
    Dick Dusseldorp was a Dutch-born Australian businessman and visionary developer best known for building Lendlease into a major international property and infrastructure company.
  • E. Marvin DeWinter
    Marvin DeWinter was an architect known for designing the Gerald R. Ford Presidential Museum in Grand Rapids, Michigan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cf3e808190847ad66d2e65f9f2 completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:14 p.m.