Triple

T20248526
Position Surface form Disambiguated ID Type / Status
Subject Fear Street Part Two: 1978 E498488 entity
Predicate screenwriter P2831 FINISHED
Object Zak Olkewicz NE NERFINISHED

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 Olkewicz | Statement: [Fear Street Part Two: 1978, screenwriter, Zak Olkewicz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zak Olkewicz
Context triple: [Fear Street Part Two: 1978, screenwriter, Zak Olkewicz]
  • A. Zak Olkewicz chosen
    Zak Olkewicz is an American screenwriter best known for writing the action-comedy film "Bullet Train" (2022).
  • B. Kevin Sierzega
    Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
  • C. Sam Kiszka
    Sam Kiszka is an American bassist and keyboardist best known as a founding member of the rock band Greta Van Fleet.
  • D. Andrew Goczkowski
    Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
  • E. Adam Szalinski
    Adam Szalinski is a fictional character from the "Honey, I Shrunk the Kids" franchise, known as the inventive Wayne Szalinski’s son who often becomes involved in his father’s size-altering experiments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a5ce4081908dff86ed4c613fd6 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.