Triple

T17065952
Position Surface form Disambiguated ID Type / Status
Subject Baker Dill E414088 entity
Predicate createdByCharacter P40162 FINISHED
Object Patrick Zariakas E1253901 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: Patrick Zariakas | Statement: [Baker Dill, createdByCharacter, Patrick Zariakas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Zariakas
Context triple: [Baker Dill, createdByCharacter, Patrick Zariakas]
  • A. Patrick Zariakas chosen
    Patrick Zariakas is a character in the film "Serenity," depicted as the young son of Baker Dill and a central motivation for his actions.
  • B. Frank Zariakas
    Frank Zariakas is a character in the film "Serenity" who serves as a key adversarial figure to the protagonist, Baker Dill.
  • C. Kevin Kropinyeri
    Kevin Kropinyeri is an Australian Aboriginal stand-up comedian known for his high-energy storytelling and performances at major comedy festivals and on national television.
  • D. James Chressanthis
    James Chressanthis is an American cinematographer and director known for his work on feature films, television movies, and documentaries.
  • E. Nick Patsaouras
    Nick Patsaouras is a Greek-American engineer and public transportation advocate known for his influential role in shaping transit policy and infrastructure in Los Angeles.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db8171348190ab68d2e4f05f7120 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01673ff7ec8190add7af932c38deef completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:34 a.m.