Triple

T13542743
Position Surface form Disambiguated ID Type / Status
Subject Oh Industry E323429 entity
Predicate featuredInFilm P626 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: [Oh Industry, featuredInFilm, Beaches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaches
Context triple: [Oh Industry, featuredInFilm, Beaches]
  • A. 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.
  • B. Beaches chosen
    Beaches is a 1988 American drama film starring Bette Midler that follows the lifelong friendship between two very different women.
  • C. 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.
  • D. Beach
    Beach is a common English surname borne by various notable individuals across politics, journalism, and the arts.
  • E. Tunnels Beaches
    Tunnels Beaches is a historic network of hand-carved tunnels leading to sheltered tidal bathing pools and a beach in Ilfracombe, North Devon, England.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6442d5c8190820d473073a3c4c6 completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 9:45 p.m.