Triple
T16063320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taio Cruz |
E389667
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Telling the World
"Telling the World" is a pop ballad by British singer Taio Cruz, best known as the theme song for the animated film Rio.
|
E1192130
|
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: Telling the World | Statement: [Taio Cruz, notableWork, Telling the World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telling the World Context triple: [Taio Cruz, notableWork, Telling the World]
-
A.
Letter to the World
"Letter to the World" is a landmark modern dance work by Martha Graham inspired by the life and poetry of Emily Dickinson.
-
B.
What a World
"What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
-
C.
What in the World
"What in the World" is a song by Los Lobos featured on their 2002 album *Good Morning Aztlán*.
-
D.
The World Will Know
"The World Will Know" is a defiant protest anthem from the stage musical Newsies, sung by the newsboys as they unite to strike against powerful publishers.
-
E.
The World Over
The World Over is a weekly Catholic news and commentary television program hosted by Raymond Arroyo that covers current events, culture, and issues affecting the Church and the world.
- 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: Telling the World Triple: [Taio Cruz, notableWork, Telling the World]
Generated description
"Telling the World" is a pop ballad by British singer Taio Cruz, best known as the theme song for the animated film Rio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Telling the World Target entity description: "Telling the World" is a pop ballad by British singer Taio Cruz, best known as the theme song for the animated film Rio.
-
A.
Letter to the World
"Letter to the World" is a landmark modern dance work by Martha Graham inspired by the life and poetry of Emily Dickinson.
-
B.
What a World
"What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
-
C.
What in the World
"What in the World" is a song by Los Lobos featured on their 2002 album *Good Morning Aztlán*.
-
D.
The World Will Know
"The World Will Know" is a defiant protest anthem from the stage musical Newsies, sung by the newsboys as they unite to strike against powerful publishers.
-
E.
The World Over
The World Over is a weekly Catholic news and commentary television program hosted by Raymond Arroyo that covers current events, culture, and issues affecting the Church and the world.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837a04108190b5a1dbbe2063039e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47ca9748190be24a490c3cf0e8c |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe50986b4819095bb9cd568fcf972 |
completed | May 10, 2026, 1:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe56441b881909e3a97331e3821d2 |
completed | May 10, 2026, 1:54 a.m. |
Created at: April 10, 2026, 4:57 a.m.