Triple

T14443711
Position Surface form Disambiguated ID Type / Status
Subject Edward L. Beach Jr. E358149 entity
Predicate familyName P18 FINISHED
Object Beach E844405 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: Beach | Statement: [Edward L. Beach Jr., familyName, Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beach
Context triple: [Edward L. Beach Jr., familyName, Beach]
  • A. 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.
  • B. Beach chosen
    Beach is a common English surname borne by various notable individuals across politics, journalism, and the arts.
  • C. Beaches
    Beaches is a 1988 American drama film starring Bette Midler that follows the lifelong friendship between two very different women.
  • D. Beaches
    Beaches is a 2017 television drama film that reimagines the 1988 movie about the enduring, complex friendship between two very different women over the course of their lives.
  • E. 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.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915d28ec81909e72124e9dd67bfb completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bdd0f388190870ddd01f66d3e99 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:19 a.m.