Triple

T13774026
Position Surface form Disambiguated ID Type / Status
Subject Secret of the Wings E330953 entity
Predicate writer P1360 FINISHED
Object Ryan Rowe
Ryan Rowe is a screenwriter known for his work on animated and family films, including contributions to the Tinker Bell franchise.
E1059981 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: Ryan Rowe | Statement: [Secret of the Wings, writer, Ryan Rowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Rowe
Context triple: [Secret of the Wings, writer, Ryan Rowe]
  • A. Matthew Shoemaker
    Matthew Shoemaker is a Canadian municipal politician serving as the mayor of Sault Ste. Marie, Ontario.
  • B. Chuck Pfarrer
    Chuck Pfarrer is an American screenwriter, author, and former Navy SEAL known for his work on action and thriller films as well as military-themed nonfiction books.
  • C. Eric Lively
    Eric Lively is an American actor known for roles in films like "American Pie" and "The Butterfly Effect 2" and the TV series "The L Word."
  • D. Corey Morrow
    Corey Morrow is an American country and Texas country singer-songwriter known for his independent releases and strong following in the Texas music scene.
  • E. Corey Reynolds
    Corey Reynolds is an American actor best known for his role as Detective Sergeant David Gabriel on the television crime drama series "The Closer."
  • 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: Ryan Rowe
Triple: [Secret of the Wings, writer, Ryan Rowe]
Generated description
Ryan Rowe is a screenwriter known for his work on animated and family films, including contributions to the Tinker Bell franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ryan Rowe
Target entity description: Ryan Rowe is a screenwriter known for his work on animated and family films, including contributions to the Tinker Bell franchise.
  • A. Matthew Shoemaker
    Matthew Shoemaker is a Canadian municipal politician serving as the mayor of Sault Ste. Marie, Ontario.
  • B. Chuck Pfarrer
    Chuck Pfarrer is an American screenwriter, author, and former Navy SEAL known for his work on action and thriller films as well as military-themed nonfiction books.
  • C. Eric Lively
    Eric Lively is an American actor known for roles in films like "American Pie" and "The Butterfly Effect 2" and the TV series "The L Word."
  • D. Corey Morrow
    Corey Morrow is an American country and Texas country singer-songwriter known for his independent releases and strong following in the Texas music scene.
  • E. Corey Reynolds
    Corey Reynolds is an American actor best known for his role as Detective Sergeant David Gabriel on the television crime drama series "The Closer."
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de023774b48190b19e43e87b94ba77 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86afd788190ab637044dd489a24 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a9f5549c81908a1a0b080acc3396 completed May 3, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69f7aafceea881908737a3d7613db2d5 completed May 3, 2026, 8:07 p.m.
Created at: April 9, 2026, 10:10 p.m.