Triple

T14653746
Position Surface form Disambiguated ID Type / Status
Subject Cas and Dylan E344055 entity
Predicate hasCharacter P2308 FINISHED
Object Cas
Cas is a central character in the Canadian film "Cas and Dylan," portrayed as a solitary, terminally ill doctor whose life is upended by an unexpected road trip with a young aspiring writer.
 E1112024 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: Cas | Statement: [Cas and Dylan, hasCharacter, Cas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cas
Context triple: [Cas and Dylan, hasCharacter, Cas]
  • A. Sac
    Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
  • B. Bas
    Bas is a Sudanese-American rapper and songwriter from Queens, New York, best known as a Dreamville Records artist and frequent collaborator of J. Cole.
  • C. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • D. Cam
    Cam is a village in Gloucestershire, England, situated near the Wildfowl and Wetlands Trust site at Slimbridge along the River Severn.
  • E. Cam
    Cam is a 2018 psychological horror-thriller film about a camgirl whose online identity is mysteriously stolen by a sinister doppelgänger.
  • 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: Cas
Triple: [Cas and Dylan, hasCharacter, Cas]
Generated description
Cas is a central character in the Canadian film "Cas and Dylan," portrayed as a solitary, terminally ill doctor whose life is upended by an unexpected road trip with a young aspiring writer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cas
Target entity description: Cas is a central character in the Canadian film "Cas and Dylan," portrayed as a solitary, terminally ill doctor whose life is upended by an unexpected road trip with a young aspiring writer.
  • A. Sac
    Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
  • B. Bas
    Bas is a Sudanese-American rapper and songwriter from Queens, New York, best known as a Dreamville Records artist and frequent collaborator of J. Cole.
  • C. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • D. Cam
    Cam is the given name of Cam Neely, a former professional ice hockey player and current president of the Boston Bruins.
  • E. Cam
    Cam is a village in Gloucestershire, England, situated near the Wildfowl and Wetlands Trust site at Slimbridge along the River Severn.
  • 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.