Triple

T8129779
Position Surface form Disambiguated ID Type / Status
Subject Party Down E189824 entity
Predicate executiveProducer P7225 FINISHED
Object John Enbom E727274 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: John Enbom | Statement: [Party Down, executiveProducer, John Enbom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Enbom
Context triple: [Party Down, executiveProducer, John Enbom]
  • A. John Enbom chosen
    John Enbom is a television writer and producer best known as a co-creator and showrunner of the cult comedy series "Party Down."
  • B. Larry Bryggman
    Larry Bryggman is an American actor best known for his long-running role on the soap opera "As the World Turns" and various film and television appearances.
  • C. Jeff Malmberg
    Jeff Malmberg is an American documentary filmmaker best known for directing the acclaimed film "Marwencol," which inspired the narrative of "Welcome to Marwen."
  • D. John Berg
    John Berg was an influential American art director and designer best known for creating iconic album covers for Columbia Records during the 1960s and 1970s.
  • E. Warren Skaaren
    Warren Skaaren was an American screenwriter and script doctor best known for his work on major 1980s films such as "Beetlejuice" and "Batman."
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b6b4dc8190be237e6dd21c863b completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0218a3888190a0b224cf93a511de completed April 2, 2026, 5:43 a.m.
Created at: March 30, 2026, 5:34 p.m.