Triple

T10354670
Position Surface form Disambiguated ID Type / Status
Subject 93rd Academy Awards E243967 entity
Predicate viewershipNote P93833 FINISHED
Object record low U.S. television audience for the Oscars at that time LITERAL 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: record low U.S. television audience for the Oscars at that time | Statement: [93rd Academy Awards, viewershipNote, record low U.S. television audience for the Oscars at that time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewershipNote
Context triple: [93rd Academy Awards, viewershipNote, record low U.S. television audience for the Oscars at that time]
  • A. USViewers
    Indicates the number or set of viewers located in the United States who watched or were exposed to a particular piece of content or event.
  • B. effectOnViewers
    Indicates the impact or influence that something has on those who observe or experience it.
  • C. firstRunViewership
    Indicates the number of viewers who watched a program during its initial (first) broadcast or release.
  • D. hasSpectators
    Indicates that an event, activity, or occurrence is being watched or attended by one or more spectators.
  • E. viewershipRegion
    Indicates the geographic region or area in which content is viewed or for which its audience is measured.
  • F. None of above. chosen

Provenance (4 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e952c878819084e5d7a593a3f9e9 completed April 7, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69d4dfa657f481909cc5cc8fec00ad19 completed April 7, 2026, 10:42 a.m.
PDg Predicate description generation batch_69d4e91ce2008190af252c140370b7f2 completed April 7, 2026, 11:23 a.m.
Created at: April 6, 2026, 11:58 a.m.