Triple

T11517921
Position Surface form Disambiguated ID Type / Status
Subject Don Burgess E273079 entity
Predicate notableWork P4 FINISHED
Object Forrest Gump E35378 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: Forrest Gump | Statement: [Don Burgess, notableWork, Forrest Gump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forrest Gump
Context triple: [Don Burgess, notableWork, 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 (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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcf927081908ef89eff7ad833b0 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62530a6b08190a8ba3c410e79cf72 completed April 20, 2026, 1:08 p.m.
Created at: April 8, 2026, 9:36 p.m.