Triple

T20248575
Position Surface form Disambiguated ID Type / Status
Subject Fear Street Part Three: 1666 E498489 entity
Predicate screenwriter P2831 FINISHED
Object Phil Graziadei
Phil Graziadei is a screenwriter best known for co-writing contemporary horror films, including entries in the Fear Street franchise.
E1424154 NE FINISHED

How this triple was built (4 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: Phil Graziadei | Statement: [Fear Street Part Three: 1666, screenwriter, Phil Graziadei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Graziadei
Context triple: [Fear Street Part Three: 1666, screenwriter, Phil Graziadei]
  • A. Anthony Czarnik
    Anthony Czarnik is an American chemist and entrepreneur best known as a co-founder of the genomics company Illumina.
  • B. Phil Wenneck
    Phil Wenneck is a charismatic, fast-talking schoolteacher and member of the "Wolfpack" whose misadventures drive much of the comedy in The Hangover film series.
  • C. Steve Pomrenke
    Steve Pomrenke is a prominent Alaskan gold miner and co-owner of the Christine Rose dredge, best known for his central role on the reality TV series "Bering Sea Gold."
  • D. Phil Kellogg
    Phil Kellogg is a music producer known for his work with the band American Heart.
  • E. Mike Krause
    Mike Krause is a fictional character from the action thriller film "Salt," involved in the high-stakes world of espionage and covert operations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Phil Graziadei
Triple: [Fear Street Part Three: 1666, screenwriter, Phil Graziadei]
Generated description
Phil Graziadei is a screenwriter best known for co-writing contemporary horror films, including entries in the Fear Street franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Phil Graziadei
Target entity description: Phil Graziadei is a screenwriter best known for co-writing contemporary horror films, including entries in the Fear Street franchise.
  • A. Anthony Czarnik
    Anthony Czarnik is an American chemist and entrepreneur best known as a co-founder of the genomics company Illumina.
  • B. Phil Wenneck
    Phil Wenneck is a charismatic, fast-talking schoolteacher and member of the "Wolfpack" whose misadventures drive much of the comedy in The Hangover film series.
  • C. Steve Pomrenke
    Steve Pomrenke is a prominent Alaskan gold miner and co-owner of the Christine Rose dredge, best known for his central role on the reality TV series "Bering Sea Gold."
  • D. Phil Kellogg
    Phil Kellogg is a music producer known for his work with the band American Heart.
  • E. Mike Krause
    Mike Krause is a fictional character from the action thriller film "Salt," involved in the high-stakes world of espionage and covert operations.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a08610d2ea08190b40857b5444cb02c completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a086231b440819087671c5c61adcdc6 completed May 16, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a08635869148190992d75a8806f767c completed May 16, 2026, 12:30 p.m.
Created at: April 11, 2026, 11:41 p.m.