Triple

T21891895
Position Surface form Disambiguated ID Type / Status
Subject Alan Kirschenbaum E540570 entity
Predicate coCreated P1858 FINISHED
Object Down the Shore 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: Down the Shore | Statement: [Alan Kirschenbaum, coCreated, Down the Shore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Down the Shore
Context triple: [Alan Kirschenbaum, coCreated, Down the Shore]
  • A. Down the Shore chosen
    Down the Shore is an early-1990s American sitcom centered on a group of friends sharing a beach house at the Jersey Shore.
  • B. Along the Shore
    "Along the Shore" is a collection of poems by Rose Hawthorne Lathrop that reflects her lyrical meditations on nature, the sea, and spiritual themes.
  • C. Sleepy Shores
    Sleepy Shores is a gentle, melodic instrumental piece by British composer Johnny Pearson, best known as a soothing piano-led theme used widely in television.
  • D. Out to Sea
    Out to Sea is a 1997 romantic comedy film starring Jack Lemmon and Walter Matthau as reluctant dance hosts on a cruise ship.
  • E. Journey to the Shore
    Journey to the Shore is a Japanese fantasy drama film that blends romance and the supernatural as it follows a woman traveling with the ghost of her deceased husband.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc3727c8190b4d5d5a44aa2e55e completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:06 p.m.