Triple

T11387035
Position Surface form Disambiguated ID Type / Status
Subject George Jetson E269737 entity
Predicate familyName P18 FINISHED
Object Jetson E922993 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: Jetson | Statement: [George Jetson, familyName, Jetson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jetson
Context triple: [George Jetson, familyName, Jetson]
  • A. Jetson chosen
    Jetson is the surname of the futuristic cartoon family featured in the classic animated television series "The Jetsons."
  • B. Nvidia Tegra X1
    The Nvidia Tegra X1 is a mobile system-on-chip that combines ARM CPU cores with an integrated Maxwell-based GPU, widely known for powering devices like the Nintendo Switch.
  • C. Tegra
    Tegra is Nvidia’s family of ARM-based system-on-a-chip processors designed primarily for mobile devices, tablets, and embedded platforms.
  • D. Nvidia Tegra 4
    Nvidia Tegra 4 is a mobile system-on-chip by Nvidia that significantly improved performance and power efficiency for smartphones and tablets over its predecessor.
  • E. AGX
    AGX is the IATA airport code for Agatti Airport, which serves the island of Agatti in India’s Lakshadweep archipelago.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc378d808190b587a044ede67e1e completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b813cfc48190a10d9b78953112ae completed April 20, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:34 p.m.