Triple

T13259144
Position Surface form Disambiguated ID Type / Status
Subject Amy Smart E315741 entity
Predicate notableWork P4 FINISHED
Object The 70s E729570 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: The 70s | Statement: [Amy Smart, notableWork, The 70s]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The 70s
Context triple: [Amy Smart, notableWork, The 70s]
  • A. The Seventies chosen
    The Seventies is a documentary television series that explores the major political, cultural, and social events that defined the 1970s in the United States.
  • B. The Eighties
    The Eighties is a CNN documentary television series that explores the major political, cultural, and technological events that defined the 1980s in the United States.
  • C. The Sixties
    The Sixties is a television miniseries that explores the major political, social, and cultural events that shaped the 1960s in the United States.
  • D. “Eighties”
    “Eighties” is a 1984 post-punk/industrial rock song by Killing Joke, known for its driving riff and its influence on later alternative and metal bands.
  • E. Twenties
    Twenties is a semi-autobiographical comedy-drama television series created by Lena Waithe that follows a queer Black woman and her friends navigating life and careers in Los Angeles.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f778088819082b8a596c04bfe02 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a444b4c8190a5dd95460ac96cc7 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.