Triple

T13768881
Position Surface form Disambiguated ID Type / Status
Subject Michael Jace E330822 entity
Predicate workedOn P3 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: [Michael Jace, workedOn, Forrest Gump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forrest Gump
Context triple: [Michael Jace, workedOn, 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a866e7cc8190a0381f4469193b6e completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.