Triple

T1953349
Position Surface form Disambiguated ID Type / Status
Subject Danny Boyle E42207 entity
Predicate notableWork P4 FINISHED
Object The Beach E54669 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: The Beach | Statement: [Danny Boyle, notableWork, The Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Beach
Context triple: [Danny Boyle, notableWork, The Beach]
  • A. The Beach chosen
    The Beach is a 2000 adventure drama film directed by Danny Boyle, starring Leonardo DiCaprio as a young traveler drawn into a secret island community in Thailand.
  • B. The Beach
    The Beach is the nickname for California State University, Long Beach, a large public university in Southern California known for its diverse student body and coastal campus.
  • C. The Island
    The Island is a 1979 thriller novel by Peter Benchley that follows a journalist who uncovers a hidden community of modern-day pirates in the Caribbean.
  • D. Outlet Beach
    Outlet Beach is a popular sandy swimming beach located within Sandbanks Provincial Park in Ontario, Canada.
  • E. Sunset Beach
    Sunset Beach is a famous North Shore Oahu surf spot known for its massive winter waves and picturesque sunsets.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3501d108190bc5cb23f53db4411 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc611fc8190b2f512c744cbc364 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.