Triple

T6812860
Position Surface form Disambiguated ID Type / Status
Subject The Long Night E156677 entity
Predicate character P662 FINISHED
Object Joe Adams E622395 NE FINISHED

How this triple was built (2 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: Joe Adams | Statement: [The Long Night, character, Joe Adams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Adams
Context triple: [The Long Night, character, Joe Adams]
  • A. Joe Adams chosen
    Joe Adams is the central protagonist of the film "The Long Night," around whom the story’s primary conflicts and developments revolve.
  • B. Sherman Adams
    Sherman Adams was an American politician and close aide to President Dwight D. Eisenhower, best known for his influential role in the Eisenhower administration and his resignation amid a gifts scandal.
  • C. Alvan Adams
    Alvan Adams is a former American professional basketball player best known as a versatile center/forward for the Phoenix Suns during the 1970s and 1980s.
  • D. Ban Johnson
    Ban Johnson was an influential early 20th-century baseball executive who played a key role in establishing the American League as a major league rival to the National League.
  • E. Herschel Daugherty
    Herschel Daugherty was an American film and television director best known for his prolific work in mid-20th-century TV dramas and anthology series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d329861881909f65bd1017ea384b completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f9d19bc8190bbdc20178239bae1 completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:17 p.m.