Triple

T8498381
Position Surface form Disambiguated ID Type / Status
Subject Ocean's film series E201153 entity
Predicate hasSetting P3538 FINISHED
Object Atlantic City E24599 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: Atlantic City | Statement: [Ocean's film series, hasSetting, Atlantic City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlantic City
Context triple: [Ocean's film series, hasSetting, Atlantic City]
  • A. Atlantic City chosen
    Atlantic City is a New Jersey coastal resort city famous for its casinos, boardwalk, and beaches.
  • B. Atlantic City
    Atlantic City is a small unincorporated community in Nebraska, United States.
  • C. Cape May
    Cape May is a historic seaside resort city at the southern tip of New Jersey, known for its Victorian architecture and popular beaches.
  • D. Asbury Park
    Asbury Park is a historic New Jersey seaside city known for its boardwalk, live music scene, and role in the development of artists like Bruce Springsteen.
  • E. Ocean City, New Jersey
    Ocean City, New Jersey is a popular family-oriented seaside resort town on the Jersey Shore, known for its beaches, boardwalk, and status as a dry (alcohol-free) vacation destination.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe583aebc819090345684bfa1fca2 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e0aa7788190abd7bb259966bc44 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:14 p.m.