Triple

T10836752
Position Surface form Disambiguated ID Type / Status
Subject Night School E255778 entity
Predicate screenwriter P2831 FINISHED
Object Joey Wells
Joey Wells is a screenwriter best known for co-writing the comedy film "Night School."
E889263 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: Joey Wells | Statement: [Night School, screenwriter, Joey Wells]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joey Wells
Context triple: [Night School, screenwriter, Joey Wells]
  • A. Joey Williams
    Joey Williams is an American gospel musician and guitarist best known for his work with the legendary vocal group The Blind Boys of Alabama.
  • B. Joey Naylor
    Joey Naylor is the young, impressionable son of tobacco lobbyist Nick Naylor in "Thank You for Smoking," serving as a key figure in exploring themes of persuasion, morality, and parental influence.
  • C. Joey Newman
    Joey Newman is an American composer and conductor known for his work on television scores and themes, including contributions to major sports broadcasts.
  • D. Joey McFarland
    Joey McFarland is an American film producer known for co-founding Red Granite Pictures and producing high-profile films such as "The Wolf of Wall Street."
  • E. Joey Curtis
    Joey Curtis is a screenwriter best known for co-writing the critically acclaimed romantic drama film "Blue Valentine."
  • 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: Joey Wells
Triple: [Night School, screenwriter, Joey Wells]
Generated description
Joey Wells is a screenwriter best known for co-writing the comedy film "Night School."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joey Wells
Target entity description: Joey Wells is a screenwriter best known for co-writing the comedy film "Night School."
  • A. Joey Williams
    Joey Williams is an American gospel musician and guitarist best known for his work with the legendary vocal group The Blind Boys of Alabama.
  • B. Joey Naylor
    Joey Naylor is the young, impressionable son of tobacco lobbyist Nick Naylor in "Thank You for Smoking," serving as a key figure in exploring themes of persuasion, morality, and parental influence.
  • C. Joey Newman
    Joey Newman is an American composer and conductor known for his work on television scores and themes, including contributions to major sports broadcasts.
  • D. Joey McFarland
    Joey McFarland is an American film producer known for co-founding Red Granite Pictures and producing high-profile films such as "The Wolf of Wall Street."
  • E. Joey Curtis
    Joey Curtis is a screenwriter best known for co-writing the critically acclaimed romantic drama film "Blue Valentine."
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
NEDg Description generation batch_69dec2534728819095b3693120772da9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec79b1b548190a74312284f98551c completed April 14, 2026, 11:02 p.m.
Created at: April 8, 2026, 9:19 p.m.