Triple

T6730735
Position Surface form Disambiguated ID Type / Status
Subject Party Monster E153626 entity
Predicate screenwriter P2831 FINISHED
Object Randy Barbato E634090 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: Randy Barbato | Statement: [Party Monster, screenwriter, Randy Barbato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randy Barbato
Context triple: [Party Monster, screenwriter, Randy Barbato]
  • A. Randy Barbato chosen
    Randy Barbato is an American film and television producer, director, and co-founder of World of Wonder, best known for his documentaries and LGBTQ-focused pop culture projects.
  • B. Mitch Pileggi
    Mitch Pileggi is an American actor best known for his long-running role as FBI Assistant Director Walter Skinner on the television series "The X-Files."
  • C. John Rando
    John Rando is a Tony Award–winning American theatre director known for his work on Broadway musicals and comedies.
  • D. Rick Blangiardi
    Rick Blangiardi is an American politician and former television executive who serves as the mayor of Honolulu, Hawaii.
  • E. Greg Maffei
    Greg Maffei is an American business executive best known as the longtime president and CEO of Liberty Media, overseeing its diverse portfolio of media, communications, and entertainment assets.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77521651c8190aa10d3a7302e2a63 completed March 28, 2026, 6:28 a.m.
Created at: March 27, 2026, 2:09 p.m.