Triple

T5043324
Position Surface form Disambiguated ID Type / Status
Subject Hellgate E113597 entity
Predicate hasCastMember P2308 FINISHED
Object Jack Walters
Jack Walters is an actor known for appearing in the film "Hellgate."
 E489078 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: Jack Walters | Statement: [Hellgate, hasCastMember, Jack Walters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jack Walters
Context triple: [Hellgate, hasCastMember, Jack Walters]
  • A. Lou Grant
    Lou Grant is a gruff but warm-hearted television news producer, portrayed by Ed Asner, who became one of American TV’s most iconic newsroom bosses and later headlined his own dramatic spin-off series.
  • B. Don Traeger
    Don Traeger is a video game industry figure best known as a co-founder of the game development studio Treyarch.
  • C. Jack Whitaker
    Jack Whitaker was an American sportscaster and television host known for his eloquent commentary on major events, including NFL games, golf tournaments, and horse racing.
  • D. Roger Ailes
    Roger Ailes was an American television executive and political consultant best known for building Fox News into a dominant and highly influential conservative cable news network.
  • E. Walter Annenberg
    Walter Annenberg was an American publisher, philanthropist, and diplomat known for building a media empire and making major contributions to education and the arts.
  • 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: Jack Walters
Triple: [Hellgate, hasCastMember, Jack Walters]
Generated description
Jack Walters is an actor known for appearing in the film "Hellgate."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jack Walters
Target entity description: Jack Walters is an actor known for appearing in the film "Hellgate."
  • A. Lou Grant
    Lou Grant is a gruff but warm-hearted television news producer, portrayed by Ed Asner, who became one of American TV’s most iconic newsroom bosses and later headlined his own dramatic spin-off series.
  • B. Don Traeger
    Don Traeger is a video game industry figure best known as a co-founder of the game development studio Treyarch.
  • C. Jack Whitaker
    Jack Whitaker was an American sportscaster and television host known for his eloquent commentary on major events, including NFL games, golf tournaments, and horse racing.
  • D. Roger Ailes
    Roger Ailes was an American television executive and political consultant best known for building Fox News into a dominant and highly influential conservative cable news network.
  • E. Walter Annenberg
    Walter Annenberg was an American publisher, philanthropist, and diplomat known for building a media empire and making major contributions to education and the arts.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fc04f08190aba851fa0192d0fb completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c87455081908b759eed55730503 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9fc4f8bc8190a21c828ea5cb9529 completed March 21, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69bea026f1008190861990c7a330222e completed March 21, 2026, 1:41 p.m.
Created at: March 20, 2026, 1:37 p.m.