Triple

T4666833
Position Surface form Disambiguated ID Type / Status
Subject Liar Liar E102865 entity
Predicate screenwriter P2831 FINISHED
Object Paul Guay
Paul Guay is an American screenwriter best known for co-writing the hit comedy film "Liar Liar" starring Jim Carrey.
E462974 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: Paul Guay | Statement: [Liar Liar, screenwriter, Paul Guay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Guay
Context triple: [Liar Liar, screenwriter, Paul Guay]
  • A. Paul Gervais
    Paul Gervais was a French painter known for his large-scale decorative works and allegorical murals in prominent public buildings.
  • B. Jules Jetté
    Jules Jetté was a Jesuit missionary and linguist known for his pioneering documentation and study of the Koyukon Athabaskan language and culture in Alaska.
  • C. Charles Daoust
    Charles Daoust was a 19th-century Canadian journalist, lawyer, and politician from Quebec associated with the radical liberal Parti rouge movement.
  • D. Michel Auclair
    Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
  • E. Roger Frappier
    Roger Frappier is a veteran Canadian film producer known for championing auteur-driven cinema and backing acclaimed international projects such as "The Power of the Dog."
  • 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: Paul Guay
Triple: [Liar Liar, screenwriter, Paul Guay]
Generated description
Paul Guay is an American screenwriter best known for co-writing the hit comedy film "Liar Liar" starring Jim Carrey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paul Guay
Target entity description: Paul Guay is an American screenwriter best known for co-writing the hit comedy film "Liar Liar" starring Jim Carrey.
  • A. Paul Gervais
    Paul Gervais was a French painter known for his large-scale decorative works and allegorical murals in prominent public buildings.
  • B. Jules Jetté
    Jules Jetté was a Jesuit missionary and linguist known for his pioneering documentation and study of the Koyukon Athabaskan language and culture in Alaska.
  • C. Charles Daoust
    Charles Daoust was a 19th-century Canadian journalist, lawyer, and politician from Quebec associated with the radical liberal Parti rouge movement.
  • D. Michel Auclair
    Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
  • E. Roger Frappier
    Roger Frappier is a veteran Canadian film producer known for championing auteur-driven cinema and backing acclaimed international projects such as "The Power of the Dog."
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633d87788190a3c8946ed6995062 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be104a596c8190903c208c892da186 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be11aa08708190b2860dc80b26d49f completed March 21, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_69be11f8a1f08190b0e42b7a24a1e9dc completed March 21, 2026, 3:35 a.m.
Created at: March 20, 2026, 1:15 p.m.