Triple

T3783756
Position Surface form Disambiguated ID Type / Status
Subject Battleship E85477 entity
Predicate screenwriter P2831 FINISHED
Object Jon Hoeber
Jon Hoeber is an American screenwriter best known for co-writing action and thriller films such as "Red" and its sequel, as well as various big-budget genre movies.
 E498946 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: Jon Hoeber | Statement: [Battleship, screenwriter, Jon Hoeber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jon Hoeber
Context triple: [Battleship, screenwriter, Jon Hoeber]
  • A. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • B. Joseph Weishaar
    Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
  • C. Frank Doelger
    Frank Doelger is a television producer best known for his work on the acclaimed HBO fantasy series "Game of Thrones."
  • D. John Kiffmeyer
    John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
  • E. John Kamps
    John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
  • 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: Jon Hoeber
Triple: [Battleship, screenwriter, Jon Hoeber]
Generated description
Jon Hoeber is an American screenwriter best known for co-writing action and thriller films such as "Red" and its sequel, as well as various big-budget genre movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jon Hoeber
Target entity description: Jon Hoeber is an American screenwriter best known for co-writing action and thriller films such as "Red" and its sequel, as well as various big-budget genre movies.
  • A. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • B. Joseph Weishaar
    Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
  • C. Frank Doelger
    Frank Doelger is a television producer best known for his work on the acclaimed HBO fantasy series "Game of Thrones."
  • D. John Kiffmeyer
    John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
  • E. John Kamps
    John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3dc6590819098dda08206206612 completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed8f8a8a08190b403b8c3caf20009 completed March 21, 2026, 5:44 p.m.
NEDg Description generation batch_69bed9c4bd98819089c9d656379a959d completed March 21, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69beda1519348190a09e01ce4464bccc completed March 21, 2026, 5:49 p.m.
Created at: March 9, 2026, 3:13 p.m.