Triple

T14630841
Position Surface form Disambiguated ID Type / Status
Subject PCU E343473 entity
Predicate writer P1360 FINISHED
Object Zak Penn E387008 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: Zak Penn | Statement: [PCU, writer, Zak Penn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zak Penn
Context triple: [PCU, writer, Zak Penn]
  • A. Zak Penn chosen
    Zak Penn is an American screenwriter and director known for his work on major science fiction and superhero films such as "The Avengers," "X2," and "Ready Player One."
  • B. Mike Binder
    Mike Binder is an American filmmaker, screenwriter, and actor known for creating and appearing in both comedic and dramatic films and television series.
  • C. John August
    John August is an American screenwriter and filmmaker best known for his frequent collaborations with director Tim Burton and his work on films such as "Big Fish," "Charlie and the Chocolate Factory," and "Frankenweenie."
  • D. Brad Silberling
    Brad Silberling is an American film and television director known for movies such as "City of Angels," "Casper," and "Lemony Snicket's A Series of Unfortunate Events."
  • E. David Koepp
    David Koepp is an American screenwriter and director best known for writing major Hollywood films such as Jurassic Park, Mission: Impossible, and Spider-Man.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a912248190a3df7f821395c776 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d0514081908c2bdc4fb77b1a7a completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.