Triple

T19089601
Position Surface form Disambiguated ID Type / Status
Subject LBSU E467248 entity
Predicate hasTeamName P744 FINISHED
Object The Beach NE NERFINISHED

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: [LBSU, hasTeamName, The Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Beach
Context triple: [LBSU, hasTeamName, The Beach]
  • A. The Beach
    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 a popular waterfront neighbourhood in Toronto known for its sandy shoreline, boardwalk, and relaxed, village-like atmosphere.
  • C. The Beach chosen
    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.
  • D. The Beach Bum
    The Beach Bum is a 2019 stoner comedy film written and directed by Harmony Korine, starring Matthew McConaughey as a hedonistic poet drifting through a sun-soaked, chaotic life in Florida.
  • E. La spiaggia
    La spiaggia is a 1954 Italian drama film directed by Alberto Lattuada, known for its social critique of morality and hypocrisy in a seaside resort town.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34a589c8190b5171fab45bf2204 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.