Triple

T3268138
Position Surface form Disambiguated ID Type / Status
Subject Eric Friedman E68576 entity
Predicate coFounded P104 FINISHED
Object Fitbit E4030 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: Fitbit | Statement: [Eric Friedman, coFounded, Fitbit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fitbit
Context triple: [Eric Friedman, coFounded, Fitbit]
  • A. Fitbit chosen
    Fitbit is a consumer electronics and fitness company best known for its wearable activity trackers and smartwatches that monitor health and exercise metrics.
  • B. Fitbit Premium
    Fitbit Premium is a paid membership service that enhances Fitbit devices and apps with advanced health insights, personalized coaching, and additional wellness features.
  • C. Fitbit Sense
    Fitbit Sense is a health-focused smartwatch by Fitbit that offers advanced fitness tracking, heart and stress monitoring, and smart features like notifications and apps.
  • D. Fitbit Ionic
    The Fitbit Ionic is a GPS-enabled fitness-focused smartwatch that tracks activity, heart rate, sleep, and supports apps and notifications.
  • E. Fitbit Inspire series
    The Fitbit Inspire series is a line of slim, entry-level fitness trackers designed to monitor daily activity, sleep, and basic health metrics with long battery life and smartphone connectivity.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcf9c6c819092f9c618b778b46d completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e83e11f081909d64287c0902124a completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.