Triple

T17763455
Position Surface form Disambiguated ID Type / Status
Subject Baywatch: Hawaiian Wedding E443440 entity
Predicate featuresCharacter P626 FINISHED
Object Alex Ryker
Alex Ryker is a character from the Baywatch franchise who appears in the television film "Baywatch: Hawaiian Wedding."
E1286210 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: Alex Ryker | Statement: [Baywatch: Hawaiian Wedding, featuresCharacter, Alex Ryker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Ryker
Context triple: [Baywatch: Hawaiian Wedding, featuresCharacter, Alex Ryker]
  • A. Adam Ryen
    Adam Ryen is a voice actor best known for providing the voice of Cody in Disney's animated film "The Rescuers Down Under."
  • B. Maxim Knight
    Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
  • C. Trevor Steele
    Trevor Steele is an Australian writer best known for his significant contributions to modern Esperanto literature.
  • D. Jake Sinclair
    Jake Sinclair is an American record producer and songwriter known for his work with artists such as Weezer, Panic! at the Disco, and Fall Out Boy.
  • E. Gage Creed
    Gage Creed is a young boy whose tragic death and supernatural resurrection drive the central horror and emotional conflict in Stephen King’s novel "Pet Sematary."
  • 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: Alex Ryker
Triple: [Baywatch: Hawaiian Wedding, featuresCharacter, Alex Ryker]
Generated description
Alex Ryker is a character from the Baywatch franchise who appears in the television film "Baywatch: Hawaiian Wedding."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alex Ryker
Target entity description: Alex Ryker is a character from the Baywatch franchise who appears in the television film "Baywatch: Hawaiian Wedding."
  • A. Adam Ryen
    Adam Ryen is a voice actor best known for providing the voice of Cody in Disney's animated film "The Rescuers Down Under."
  • B. Maxim Knight
    Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
  • C. Trevor Steele
    Trevor Steele is an Australian writer best known for his significant contributions to modern Esperanto literature.
  • D. Jake Sinclair
    Jake Sinclair is an American record producer and songwriter known for his work with artists such as Weezer, Panic! at the Disco, and Fall Out Boy.
  • E. Gage Creed
    Gage Creed is a young boy whose tragic death and supernatural resurrection drive the central horror and emotional conflict in Stephen King’s novel "Pet Sematary."
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485f9fa188190aef5ffeb0b628632 completed April 19, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efbcd5948190882b2a138c064f3a completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f04731e8819092751711a70b4f1b completed May 12, 2026, 9:17 a.m.
NED2 Entity disambiguation (via description) batch_6a02f116f4648190ac9ef1cc81bd032d completed May 12, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:11 a.m.