Triple

T23062582
Position Surface form Disambiguated ID Type / Status
Subject Being Julia E574943 entity
Predicate producer P490 FINISHED
Object Robert Lantos 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: Robert Lantos | Statement: [Being Julia, producer, Robert Lantos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Lantos
Context triple: [Being Julia, producer, Robert Lantos]
  • A. Robert Lantos chosen
    Robert Lantos is a prominent Canadian film producer known for backing acclaimed international and independent films.
  • B. Robert Dorfmann
    Robert Dorfmann was a French film producer known for backing major European and international films, including influential works of the 1960s and 1970s.
  • C. Robert Resnikoff
    Robert Resnikoff is an American filmmaker best known for writing and directing the 1990 supernatural horror-thriller film "The First Power."
  • D. Harvey Lichtenstein
    Harvey Lichtenstein was an influential American arts administrator and long-time director of the Brooklyn Academy of Music, known for transforming it into a leading center for avant-garde performance.
  • E. Paul Eckstein
    Paul Eckstein is a television writer and producer best known for co-creating the crime drama series "Godfather of Harlem."
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a0c3c881909f137ad511c216ac completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.