Triple

T9114063
Position Surface form Disambiguated ID Type / Status
Subject Mark Tildesley E218679 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: [Mark Tildesley, notableWork, The Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Beach
Context triple: [Mark Tildesley, 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 Beach
    The Beach is a popular waterfront neighbourhood in Toronto known for its sandy shoreline, boardwalk, and relaxed, village-like atmosphere.
  • D. Beaches (novel)
    Beaches (novel) is a 1985 work of fiction by Iris Rainer Dart that follows the lifelong, emotionally complex friendship between two very different women, later adapted into the popular 1988 film of the same name.
  • E. Monkey Beach
    Monkey Beach is a small, scenic cove in Thailand’s Phi Phi Islands famous for its resident wild monkeys and clear turquoise waters.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84c209c8190b082a9b8499bedf7 completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0305eb6e081908edba0ddab25e209 completed April 3, 2026, 9:25 p.m.
Created at: March 30, 2026, 7:16 p.m.