Triple

T21524497
Position Surface form Disambiguated ID Type / Status
Subject For the People (2018 TV series) E531058 entity
Predicate portrayedBy P1507 FINISHED
Object Ben Rappaport 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: Ben Rappaport | Statement: [For the People (2018 TV series), portrayedBy, Ben Rappaport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Rappaport
Context triple: [For the People (2018 TV series), portrayedBy, Ben Rappaport]
  • A. Ben Rappaport chosen
    Ben Rappaport is an American actor best known for his starring role in the NBC sitcom "Outsourced" and appearances in series such as "The Good Wife" and "Mr. Robot."
  • B. Oren Aviv
    Oren Aviv is an American film executive and producer known for his work on major Hollywood projects, including contributing to the story for the action-adventure film "National Treasure."
  • C. Oded Kotler
    Oded Kotler is an Israeli actor and theater director known for his prominent roles in film and stage as well as his influential work in Israeli performing arts.
  • D. Daniel Matmor
    Daniel Matmor is an actor best known for his role in the 1995 horror film "The Mangler," adapted from a Stephen King short story.
  • E. Amnon Niv
    Amnon Niv is an Israeli architect best known for designing prominent high-rise buildings, including some of the country's most recognizable skyscrapers.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884f4504819086bd632e62f02f58 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.