Triple
T5070992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Wish to Change the World |
E114276
|
entity |
| Predicate | belongsToCategory |
P87
|
FINISHED |
| Object |
TED branding
TED branding is the visual and conceptual identity system that defines how TED and its related initiatives are presented and recognized across talks, events, and media.
|
E492775
|
NE FINISHED |
How this triple was built (4 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: TED branding | Statement: [One Wish to Change the World, belongsToCategory, TED branding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TED branding Context triple: [One Wish to Change the World, belongsToCategory, TED branding]
-
A.
TVC
TVC is the IATA airport code for Cherry Capital Airport serving Traverse City, Michigan, in the United States.
-
B.
TMT
TMT is a planned next-generation ground-based optical and infrared observatory featuring a 30-meter primary mirror for extremely high-resolution astronomical observations.
-
C.
TMT
TMT is the official currency code for the Turkmenistan manat, the national currency of Turkmenistan.
-
D.
TD
TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
-
E.
TD
TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TED branding Triple: [One Wish to Change the World, belongsToCategory, TED branding]
Generated description
TED branding is the visual and conceptual identity system that defines how TED and its related initiatives are presented and recognized across talks, events, and media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TED branding Target entity description: TED branding is the visual and conceptual identity system that defines how TED and its related initiatives are presented and recognized across talks, events, and media.
-
A.
TVC
TVC is the IATA airport code for Cherry Capital Airport serving Traverse City, Michigan, in the United States.
-
B.
TMT
TMT is a planned next-generation ground-based optical and infrared observatory featuring a 30-meter primary mirror for extremely high-resolution astronomical observations.
-
C.
TMT
TMT is the official currency code for the Turkmenistan manat, the national currency of Turkmenistan.
-
D.
TD
TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
-
E.
TD
TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
- F. None of above. chosen
Provenance (5 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74a0aa048190ba01281f1b160609 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb10bb740819099797240c9f35eb9 |
completed | March 21, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69beb376b1d08190adabbf2e9e917bec |
completed | March 21, 2026, 3:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb4843b588190947b3c2ae7709e67 |
completed | March 21, 2026, 3:08 p.m. |
Created at: March 20, 2026, 1:39 p.m.