Triple

T18820428
Position Surface form Disambiguated ID Type / Status
Subject feather theme E460247 entity
Predicate appearsIn P795 FINISHED
Object Forrest Gump NE NERFINISHED

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: Forrest Gump | Statement: [feather theme, appearsIn, Forrest Gump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forrest Gump
Context triple: [feather theme, appearsIn, Forrest Gump]
  • A. Forrest Gump chosen
    Forrest Gump is a 1994 American comedy-drama film following the life of a kind-hearted but simple man who unwittingly influences several historical events in the United States.
  • B. Forrest Gump Jr.
    Forrest Gump Jr. is the son of Forrest Gump and Jenny Curran in the film "Forrest Gump," representing the continuation of Forrest’s legacy and a hopeful new beginning.
  • C. Rain Man
    Rain Man is a 1988 American drama film about a self-centered man who discovers his estranged autistic savant brother during a cross-country journey, starring Dustin Hoffman and Tom Cruise.
  • D. Gump
    Gump is a fantastical, makeshift flying creature from L. Frank Baum’s Oz series, assembled from various objects and brought to life by magic.
  • E. Gump
    Gump is a fictional surname most famously associated with Forrest Gump, the protagonist of the novel and film of the same name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b9be988190b5e3804c39dc7dd9 completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.