Triple

T3930790
Position Surface form Disambiguated ID Type / Status
Subject Garry Marshall E90787 entity
Predicate directed P7373 FINISHED
Object Beaches E60486 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: Beaches | Statement: [Garry Marshall, directed, Beaches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaches
Context triple: [Garry Marshall, directed, Beaches]
  • A. Beaches chosen
    Beaches is a 1988 American drama film starring Bette Midler that follows the lifelong friendship between two very different women.
  • B. Beach
    Beach is the long-suffering butler in P. G. Wodehouse’s Blandings Castle stories, known for his dignified composure amid the eccentric chaos of the castle’s inhabitants.
  • C. Sand Beach
    Sand Beach is a small, picturesque sandy shoreline on Mount Desert Island in Maine, known for its cold waters, dramatic rocky surroundings, and popularity with visitors to Acadia National Park.
  • D. Shell Beach
    Shell Beach is a scenic sandy beach on the small Channel Island of Herm, known for its clear waters and tranquil, car-free surroundings.
  • E. Jersey Shore beaches
    Jersey Shore beaches are a string of popular Atlantic Ocean coastal destinations in New Jersey known for their boardwalks, summer tourism, and lively seaside towns.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeda98058819094dd6ab223670860 completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288408f0819090217513e7a21091 completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:23 p.m.