Triple

T3154775
Position Surface form Disambiguated ID Type / Status
Subject John Wick: Chapter 3 – Parabellum E65958 entity
Predicate writer P1360 FINISHED
Object Shay Hatten
Shay Hatten is an American screenwriter known for his work on high-octane action films, including entries in the John Wick franchise.
E331513 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: Shay Hatten | Statement: [John Wick: Chapter 3 – Parabellum, writer, Shay Hatten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shay Hatten
Context triple: [John Wick: Chapter 3 – Parabellum, writer, Shay Hatten]
  • A. Shay Haley
    Shay Haley is an American musician, producer, and member of the band N.E.R.D., known for his long-time collaboration with Pharrell Williams.
  • B. Shanley Caswell
    Shanley Caswell is an American actress best known for her role as Andrea Perron in the supernatural horror film "The Conjuring."
  • C. Shauneen Bruder
    Shauneen Bruder is a Canadian business leader and executive who has served as chancellor of the University of Guelph.
  • D. Markella Hatziano
    Markella Hatziano is a Greek mezzo-soprano opera singer known for her powerful voice and performances in major operatic roles.
  • E. Jo Hayden
    Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
  • 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: Shay Hatten
Triple: [John Wick: Chapter 3 – Parabellum, writer, Shay Hatten]
Generated description
Shay Hatten is an American screenwriter known for his work on high-octane action films, including entries in the John Wick franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shay Hatten
Target entity description: Shay Hatten is an American screenwriter known for his work on high-octane action films, including entries in the John Wick franchise.
  • A. Shay Haley
    Shay Haley is an American musician, producer, and member of the band N.E.R.D., known for his long-time collaboration with Pharrell Williams.
  • B. Shanley Caswell
    Shanley Caswell is an American actress best known for her role as Andrea Perron in the supernatural horror film "The Conjuring."
  • C. Shauneen Bruder
    Shauneen Bruder is a Canadian business leader and executive who has served as chancellor of the University of Guelph.
  • D. Markella Hatziano
    Markella Hatziano is a Greek mezzo-soprano opera singer known for her powerful voice and performances in major operatic roles.
  • E. Jo Hayden
    Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5e7f4688190b477186254f8a572 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b22503ba208190814ab2bfbe380c42 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225ee67c48190879edf50981641ab completed March 12, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69b22659f79c81908f33769dff3cc57d completed March 12, 2026, 2:35 a.m.
Created at: March 8, 2026, 3:05 p.m.