Triple

T14709388
Position Surface form Disambiguated ID Type / Status
Subject The Internship E345507 entity
Predicate starring P1507 FINISHED
Object Josh Brener E1072499 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: Josh Brener | Statement: [The Internship, starring, Josh Brener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Brener
Context triple: [The Internship, starring, Josh Brener]
  • A. Josh Brener chosen
    Josh Brener is an American actor best known for his comedic roles in television series like "Silicon Valley" and films such as "The Internship."
  • B. Eric Bauza
    Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
  • C. Michael Rapaport
    Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
  • D. Jesse Macht
    Jesse Macht is an American singer-songwriter and musician known for his melodic pop-rock style and work as a solo artist and band member.
  • E. Gene Draper
    Gene Draper is the infant son of Don and Betty Draper on the television series "Mad Men," named after Betty's late father.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a181708190816c391f6a5d06f0 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:28 a.m.