Triple

T8244607
Position Surface form Disambiguated ID Type / Status
Subject Cat's Eye (1985 film) E192818 entity
Predicate setIn P1393 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: [Cat's Eye (1985 film), setIn, Atlantic City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlantic City
Context triple: [Cat's Eye (1985 film), setIn, Atlantic City]
  • A. Atlantic City
    Atlantic City is a small unincorporated community in Nebraska, United States.
  • B. Atlantic City chosen
    Atlantic City is a New Jersey coastal resort city famous for its casinos, boardwalk, and beaches.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78711f5081909c2f357334491a07 completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd680b0f608190b69336228346b47d completed April 1, 2026, 6:46 p.m.
Created at: March 30, 2026, 5:47 p.m.