Triple

T1432839
Position Surface form Disambiguated ID Type / Status
Subject Michael Beach E30488 entity
Predicate familyName P18 FINISHED
Object Beach E145669 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: [Michael Beach, familyName, Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beach
Context triple: [Michael Beach, familyName, Beach]
  • A. Beach chosen
    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. Beaches
    Beaches is a 1988 American drama film starring Bette Midler that follows the lifelong friendship between two very different women.
  • C. Fairy Meadow Beach
    Fairy Meadow Beach is a popular coastal surf and swimming beach located in the northern suburbs of Wollongong, New South Wales, Australia.
  • D. Wingaersheek Beach
    Wingaersheek Beach is a popular scenic beach in Gloucester, Massachusetts, known for its white sand, tidal flats, and family-friendly swimming conditions.
  • E. West Sands beach
    West Sands beach is a long, scenic stretch of sand near St Andrews in Scotland, famed for its appearance in the opening scenes of the film "Chariots of Fire" and popular for walking, running, and seaside recreation.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4ddbe208190a68cb000a6970d17 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016e25808190880a6e637dd2590a completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.