Triple

T27660456
Position Surface form Disambiguated ID Type / Status
Subject Nest Cam E697106 entity
Predicate recordsVideoIn P83514 FINISHED
Object high definition 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: high definition | Statement: [Nest Cam, recordsVideoIn, high definition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recordsVideoIn
Context triple: [Nest Cam, recordsVideoIn, high definition]
  • A. hasVideoRecording chosen
    Indicates that there exists an associated video recording capturing or documenting the referenced entity or event.
  • B. recordingOf
    Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
  • C. recordPilot
    Indicates that an entity documents or logs information about a pilot, such as their identity, status, or activities.
  • D. reRecordedWith
    Indicates that an existing recording was made again in collaboration with the specified entity (such as an artist, group, or producer).
  • E. recorded
    Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
  • F. None of above.

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_69ef590b85a4819083ec7c12bd3c9c10 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6db1f3ec48190a82e7d893d3c76ba completed May 3, 2026, 5:20 a.m.
PD Predicate disambiguation batch_69f6d82adfa481908a5e196d2e18c73f completed May 3, 2026, 5:07 a.m.
Created at: April 27, 2026, 2:36 p.m.