Triple
T13514008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TEDCountdown |
E322710
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | TEDCountdown online content |
E322710
|
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: TEDCountdown online content | Statement: [TEDCountdown, hasComponent, TEDCountdown online content]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TEDCountdown online content Context triple: [TEDCountdown, hasComponent, TEDCountdown online content]
-
A.
TEDCountdown
chosen
TEDCountdown is a global TED initiative focused on accelerating solutions to the climate crisis through talks, collaborations, and actionable commitments.
-
B.
TED
TED is the National Rail station code for Teddington railway station in southwest London, England.
-
C.
TED.com
TED.com is the official online platform where TED shares its collection of TED Talks, conferences, and ideas worth spreading with a global audience.
-
D.
YouTube
YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
-
E.
YouTube Data API
The YouTube Data API is a Google service that lets developers programmatically access and manage YouTube resources such as videos, channels, and playlists.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf87ca288190a147fbdb2f90985f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75494642881909f33962afe26f427 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.