Triple
T7577679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESPN app |
E179399
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | WebOS |
E409720
|
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: WebOS | Statement: [ESPN app, platform, WebOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WebOS Context triple: [ESPN app, platform, WebOS]
-
A.
webOS
chosen
webOS is a Linux-based smart TV and formerly mobile operating system known for its card-based multitasking interface and later adoption by LG for its televisions and devices.
-
B.
Tizen
Tizen is a Linux-based open-source operating system primarily used in smart TVs, wearables, and other embedded and IoT devices.
-
C.
Fire OS
Fire OS is Amazon's Android-based operating system designed primarily for its Fire tablets, Fire TV devices, and other Amazon hardware.
-
D.
BlackBerry Tablet OS
BlackBerry Tablet OS is a QNX-based operating system developed by BlackBerry for its PlayBook tablet, designed to support rich multimedia, multitasking, and app development frameworks like Adobe AIR.
-
E.
Firefox OS
Firefox OS was a Linux-based open-source mobile operating system developed by Mozilla, designed primarily for smartphones and other connected devices using web technologies like HTML5 and JavaScript.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94cdbec81909f2ba7ce04e49931 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8616d87f881909fe23220dc77167c |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:51 p.m.