Triple

T6161876
Position Surface form Disambiguated ID Type / Status
Subject The Princess Diaries E137460 entity
Predicate stars P1956 FINISHED
Object Robert Schwartzman E351834 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: Robert Schwartzman | Statement: [The Princess Diaries, stars, Robert Schwartzman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Schwartzman
Context triple: [The Princess Diaries, stars, Robert Schwartzman]
  • A. Robert Schwartzman chosen
    Robert Schwartzman is an American musician and filmmaker best known as the lead singer of the band Rooney and for his work as a director and actor.
  • B. Teddy Schwarzman
    Teddy Schwarzman is an American film producer and founder of Black Bear Pictures, known for backing acclaimed films such as "The Imitation Game."
  • C. John Schwartzman
    John Schwartzman is an American cinematographer known for his work on major Hollywood films, including action blockbusters and large-scale studio productions.
  • D. Michael Markowitz
    Michael Markowitz is an American comedy writer best known for co-writing the hit film "Horrible Bosses."
  • E. Peter Seligmann
    Peter Seligmann is an American environmentalist and business leader best known for co-founding and leading the global conservation organization Conservation International.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d371484819090c18b62b095b49e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ee26ed8819084a5cfd84ba9564e completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:17 p.m.