Triple

T3787058
Position Surface form Disambiguated ID Type / Status
Subject The Tomorrow War E85552 entity
Predicate mainCharacter P1183 FINISHED
Object Dan Forester
Dan Forester is a former soldier turned high school teacher who is drafted into a future war against alien invaders in the science fiction film "The Tomorrow War."
E388363 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: Dan Forester | Statement: [The Tomorrow War, mainCharacter, Dan Forester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Forester
Context triple: [The Tomorrow War, mainCharacter, Dan Forester]
  • A. Paul Forster
    Paul Forster is an entrepreneur best known as a co-founder of the global job search engine Indeed.
  • B. Dan Frank
    Dan Frank was an influential American book editor known for shaping contemporary literary fiction and nonfiction during his long tenure at major publishing houses.
  • C. Craig Forrest
    Craig Forrest is a former Canadian professional goalkeeper best known for his long international career with Canada’s national team and his club tenure in England, particularly with Ipswich Town and West Ham United.
  • D. Jack Feore
    Jack Feore is the son of Canadian-American actor Colm Feore.
  • E. Dan Hunt
    Dan Hunt is an American soccer executive and co-owner of FC Dallas, known for leading the Major League Soccer club founded by his family.
  • 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: Dan Forester
Triple: [The Tomorrow War, mainCharacter, Dan Forester]
Generated description
Dan Forester is a former soldier turned high school teacher who is drafted into a future war against alien invaders in the science fiction film "The Tomorrow War."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dan Forester
Target entity description: Dan Forester is a former soldier turned high school teacher who is drafted into a future war against alien invaders in the science fiction film "The Tomorrow War."
  • A. Paul Forster
    Paul Forster is an entrepreneur best known as a co-founder of the global job search engine Indeed.
  • B. Dan Frank
    Dan Frank was an influential American book editor known for shaping contemporary literary fiction and nonfiction during his long tenure at major publishing houses.
  • C. Craig Forrest
    Craig Forrest is a former Canadian professional goalkeeper best known for his long international career with Canada’s national team and his club tenure in England, particularly with Ipswich Town and West Ham United.
  • D. Jack Feore
    Jack Feore is the son of Canadian-American actor Colm Feore.
  • E. Dan Hunt
    Dan Hunt is an American soccer executive and co-owner of FC Dallas, known for leading the Major League Soccer club founded by his family.
  • 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_69aee42e430081908d032dcdcef20fc5 completed March 9, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f04ceea881909c3f0d1da9b538ae completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f1730bbc8190a2f5f70ebc5a528a completed March 14, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b4f2538eac81908a6c85ddab4e2356 completed March 14, 2026, 5:29 a.m.
Created at: March 9, 2026, 3:13 p.m.