Triple

T12886718
Position Surface form Disambiguated ID Type / Status
Subject Kaushik E308244 entity
Predicate appearsIn P795 FINISHED
Object Year’s End E308237 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: Year’s End | Statement: [Kaushik, appearsIn, Year’s End]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Year’s End
Context triple: [Kaushik, appearsIn, Year’s End]
  • A. Year’s End chosen
    "Year’s End" is a short story by Jhumpa Lahiri that appears in her collection *Unaccustomed Earth*, exploring themes of family, loss, and cultural identity.
  • B. Season’s End
    Season’s End is a 1989 progressive rock album by Marillion, notable as their first release with vocalist Steve Hogarth and for its atmospheric, melodic sound.
  • C. The Last Month of the Year
    The Last Month of the Year is a Christmas-themed folk album by the Kingston Trio, featuring traditional and contemporary holiday songs in their signature harmony-driven style.
  • D. Midnight Mass for the Dying Year
    "Midnight Mass for the Dying Year" is a reflective, religious-themed poem by Henry Wadsworth Longfellow that meditates on the passage of time and the close of the old year.
  • E. A Year and a Day
    A Year and a Day is a film featuring actor T. R. Knight in its cast.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714415c08190aa9944b494a3ddad completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5576ae4819084914697b2e86d9f completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:39 p.m.