Triple

T14653732
Position Surface form Disambiguated ID Type / Status
Subject Cas and Dylan E344055 entity
Predicate screenwriter P2831 FINISHED
Object Jessie Gabe
Jessie Gabe is a screenwriter known for her work on the Canadian road-trip comedy film "Cas and Dylan."
E1112019 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: Jessie Gabe | Statement: [Cas and Dylan, screenwriter, Jessie Gabe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessie Gabe
Context triple: [Cas and Dylan, screenwriter, Jessie Gabe]
  • A. Jessie Gallup
    Jessie Gallup was a collaborator and co-author who worked alongside pioneering pollster George Gallup, contributing to early public opinion research.
  • B. Jessie
    Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
  • C. Jessie
    Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
  • D. Jessie
    Jessie is a person whose full name is Jessie Oriana Huxley.
  • E. Jessie
    Jessie is a given name commonly used as a diminutive or variant of names like Jessica or Jesse.
  • 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: Jessie Gabe
Triple: [Cas and Dylan, screenwriter, Jessie Gabe]
Generated description
Jessie Gabe is a screenwriter known for her work on the Canadian road-trip comedy film "Cas and Dylan."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jessie Gabe
Target entity description: Jessie Gabe is a screenwriter known for her work on the Canadian road-trip comedy film "Cas and Dylan."
  • A. Jessie Gallup
    Jessie Gallup was a collaborator and co-author who worked alongside pioneering pollster George Gallup, contributing to early public opinion research.
  • B. Jessie
    Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
  • C. Jessie
    Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
  • D. Jessie
    Jessie is a person whose full name is Jessie Oriana Huxley.
  • E. Jessie
    Jessie is a given name commonly used as a diminutive or variant of names like Jessica or Jesse.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb518f7dc8190877997ea4cd3eed2 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5db85648190b0e5b1c0827fa9f4 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd6ed699c8190919677dcdf2d24d9 completed May 8, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69fdd79198108190a3e640eca97b082b completed May 8, 2026, 12:31 p.m.
Created at: April 10, 2026, 1:27 a.m.