Triple

T4666834
Position Surface form Disambiguated ID Type / Status
Subject Liar Liar E102865 entity
Predicate screenwriter P2831 FINISHED
Object Stephen Mazur
Stephen Mazur is an American screenwriter best known for co-writing the hit Jim Carrey comedy film "Liar Liar."
 E461184 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: Stephen Mazur | Statement: [Liar Liar, screenwriter, Stephen Mazur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephen Mazur
Context triple: [Liar Liar, screenwriter, Stephen Mazur]
  • A. Phil Szostak
    Phil Szostak is an American architect best known for designing the Durham Performing Arts Center in North Carolina.
  • B. David Ulevitch
    David Ulevitch is an American technology entrepreneur and investor best known as the founder of the DNS and internet security company OpenDNS.
  • C. Michael Nozik
    Michael Nozik is an American film producer known for his work on acclaimed dramas and international co-productions, including the geopolitical thriller "Syriana."
  • D. Dennis Shryack
    Dennis Shryack was an American screenwriter best known for his work on action and comedy films, including collaborations on several Clint Eastwood movies.
  • E. Daniel Mann
    Daniel Mann was an American film and theater director known for his work on mid-20th-century Hollywood dramas such as "Come Back, Little Sheba" and "Butterfield 8."
  • 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: Stephen Mazur
Triple: [Liar Liar, screenwriter, Stephen Mazur]
Generated description
Stephen Mazur is an American screenwriter best known for co-writing the hit Jim Carrey comedy film "Liar Liar."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephen Mazur
Target entity description: Stephen Mazur is an American screenwriter best known for co-writing the hit Jim Carrey comedy film "Liar Liar."
  • A. Phil Szostak
    Phil Szostak is an American architect best known for designing the Durham Performing Arts Center in North Carolina.
  • B. David Ulevitch
    David Ulevitch is an American technology entrepreneur and investor best known as the founder of the DNS and internet security company OpenDNS.
  • C. Michael Nozik
    Michael Nozik is an American film producer known for his work on acclaimed dramas and international co-productions, including the geopolitical thriller "Syriana."
  • D. Dennis Shryack
    Dennis Shryack was an American screenwriter best known for his work on action and comedy films, including collaborations on several Clint Eastwood movies.
  • E. Daniel Mann
    Daniel Mann was an American film and theater director known for his work on mid-20th-century Hollywood dramas such as "Come Back, Little Sheba" and "Butterfield 8."
  • 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_69be038912488190a109d4ce624b813d completed March 21, 2026, 2:33 a.m.
NEDg Description generation batch_69be05941ca08190b073c078dfb25429 completed March 21, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69be05fb27788190bdbaba05fc0798e7 completed March 21, 2026, 2:44 a.m.
Created at: March 20, 2026, 1:15 p.m.