Triple

T7781863
Position Surface form Disambiguated ID Type / Status
Subject Christopher Ross E221538 entity
Predicate notableWork P4 FINISHED
Object Yesterday E36277 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: Yesterday | Statement: [Christopher Ross, notableWork, Yesterday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yesterday
Context triple: [Christopher Ross, notableWork, Yesterday]
  • A. Yesterday chosen
    Yesterday is a 2019 British romantic comedy film with a musical twist, centered on a struggling musician who wakes up in a world where only he remembers the songs of The Beatles.
  • B. Yesterday
    "Yesterday" is a 1965 Beatles ballad, primarily written by Paul McCartney, renowned for its melancholic melody and string quartet arrangement and considered one of the most covered songs in popular music history.
  • C. Ayer
    Ayer is a small town in north-central Massachusetts that functions as a regional commuter hub with rail connections to Boston.
  • D. Between Today and Yesterday
    Between Today and Yesterday is a 1974 concept album by English musician Alan Price that reflects on working-class life and social change in Britain.
  • E. Today
    Today is a long-running American morning news and talk show on NBC featuring news coverage, interviews, and lifestyle segments.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1dcc6c8190b3c6ee4ff7808e02 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5d30c748190bbb71534cfdf4f75 completed March 30, 2026, 10:14 p.m.
Created at: March 30, 2026, 4:21 p.m.