Triple

T8346187
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Hanks E196040 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: [Elizabeth Hanks, notableWork, Forrest Gump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forrest Gump
Context triple: [Elizabeth Hanks, 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. 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.
  • C. 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.
  • D. Gump
    Gump is a fictional surname most famously associated with Forrest Gump, the protagonist of the novel and film of the same name.
  • E. Hud
    Hud is a prophet in Islamic tradition, known for being sent to guide the ancient people of ʿĀd away from idolatry and toward the worship of one God.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8013d81c81908da48466cffb3939 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf27cace5c8190b871c632a075cb0a completed April 3, 2026, 2:36 a.m.
Created at: March 30, 2026, 5:58 p.m.