Triple
T4037570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google X |
E83862
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Google Glass |
E184200
|
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: Google Glass | Statement: [Google X, knownFor, Google Glass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Glass Context triple: [Google X, knownFor, Google Glass]
-
A.
Google Glass
chosen
Google Glass is a wearable augmented reality headset with a small optical display designed to provide hands-free access to information and apps.
-
B.
Ray-Ban Meta smart glasses
Ray-Ban Meta smart glasses are camera- and audio-enabled eyewear that blend classic Ray-Ban styling with Meta’s augmented reality and hands-free social media features.
-
C.
Microsoft HoloLens
Microsoft HoloLens is a mixed reality smart headset developed by Microsoft that overlays holographic content onto the real world for enterprise, industrial, and creative applications.
-
D.
Oculus VR
Oculus VR is a virtual reality technology company best known for developing the Oculus Rift headset and helping popularize modern consumer VR experiences.
-
E.
Google Now on Tap
Google Now on Tap was an Android feature that provided context-aware search and assistance by analyzing on-screen content and offering relevant information and actions without leaving the current app.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb3656f08190aa5286d951013646 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5564436788190aff89ebfeeed6d9b |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.