Triple

T15732104
Position Surface form Disambiguated ID Type / Status
Subject Son of Zorn E381369 entity
Predicate executiveProducer P7225 FINISHED
Object Eric Appel E1069925 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: Eric Appel | Statement: [Son of Zorn, executiveProducer, Eric Appel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Appel
Context triple: [Son of Zorn, executiveProducer, Eric Appel]
  • A. Eric Appel chosen
    Eric Appel is an American film and television director and writer known for his work on comedy projects including the action-comedy series "Die Hart."
  • B. Eric Zimmerman
    Eric Zimmerman is a filmmaker and music video director known for creating visually distinctive videos for alternative and rock artists.
  • C. Richard Appel
    Richard Appel is an American television writer and producer best known for his work on animated series such as The Simpsons, King of the Hill, and Family Guy.
  • D. Jason Rothenberg
    Jason Rothenberg is an American television writer and producer best known for developing and showrunning the post-apocalyptic sci-fi series "The 100."
  • E. Art Cohn
    Art Cohn was an American screenwriter and author active in mid-20th-century Hollywood, known for his work on several feature films and non-fiction books.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd3614481908b2694b1d3550058 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8769aaac8190b41141eaa5ac6944 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:46 a.m.