Triple

T12657303
Position Surface form Disambiguated ID Type / Status
Subject For Keeps? E302317 entity
Predicate starring P1507 FINISHED
Object John Zarchen
John Zarchen is an actor best known for his role in the film "For Keeps?".
 E1000034 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: John Zarchen | Statement: [For Keeps?, starring, John Zarchen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Zarchen
Context triple: [For Keeps?, starring, John Zarchen]
  • A. John Zaccaro
    John Zaccaro is an American real estate developer best known as the husband of the late U.S. Congresswoman and 1984 vice-presidential nominee Geraldine Ferraro.
  • B. Ted Zachary
    Ted Zachary is a film producer known for his work on movies such as "Four Friends."
  • C. Zack Stentz
    Zack Stentz is an American screenwriter and producer known for co-writing major genre films and TV series, including Marvel's "Thor" and "X-Men: First Class."
  • D. Charles Zegar
    Charles Zegar is an American businessman and computer scientist best known as one of the co-founders of the financial information and media company Bloomberg L.P.
  • E. Josh Blackhart
    Josh Blackhart is a recurring love interest of Sabrina Spellman in the television series "Sabrina the Teenage Witch," known for working at the coffee shop where she is employed.
  • 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: John Zarchen
Triple: [For Keeps?, starring, John Zarchen]
Generated description
John Zarchen is an actor best known for his role in the film "For Keeps?".
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Zarchen
Target entity description: John Zarchen is an actor best known for his role in the film "For Keeps?".
  • A. John Zaccaro
    John Zaccaro is an American real estate developer best known as the husband of the late U.S. Congresswoman and 1984 vice-presidential nominee Geraldine Ferraro.
  • B. Ted Zachary
    Ted Zachary is a film producer known for his work on movies such as "Four Friends."
  • C. Zack Stentz
    Zack Stentz is an American screenwriter and producer known for co-writing major genre films and TV series, including Marvel's "Thor" and "X-Men: First Class."
  • D. Charles Zegar
    Charles Zegar is an American businessman and computer scientist best known as one of the co-founders of the financial information and media company Bloomberg L.P.
  • E. Josh Blackhart
    Josh Blackhart is a recurring love interest of Sabrina Spellman in the television series "Sabrina the Teenage Witch," known for working at the coffee shop where she is employed.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961620b188190a8a8569f1133a9cf completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c730b5c8190ae8dbb476e53729e completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67de172088190b055ace0fdcfd1fd completed May 2, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f67ec570a881909c98471b701999f0 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:18 p.m.