Triple
T19070425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Urban Games |
E466775
|
entity |
| Predicate | hasDiscipline |
P531
|
FINISHED |
| Object |
breaking
Breaking is a competitive, acrobatic street dance style that has evolved into an international sport featured at major urban and multi-sport events.
|
E1357337
|
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: breaking | Statement: [World Urban Games, hasDiscipline, breaking]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: breaking Context triple: [World Urban Games, hasDiscipline, breaking]
-
A.
Breaking
Breaking is a 2022 American thriller drama film based on a true story, starring John Boyega as a troubled veteran who takes hostages in a bank.
-
B.
Breaking
"Breaking" is a song featured on the album "New Surrender" by the American rock band Anberlin.
-
C.
Broken
"Broken" is a song by Canadian rock band The Guess Who, known for its emotive lyrics and classic rock sound.
-
D.
Broken
"Broken" is a British television drama series starring Sean Bean as a troubled Catholic priest grappling with faith, morality, and the struggles of his working-class parishioners.
-
E.
Broken
"Broken" is a hauntingly melodic indie-folk song by Canadian singer-songwriter Patrick Watson, known for its ethereal vocals and cinematic, atmospheric arrangement.
- 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: breaking Triple: [World Urban Games, hasDiscipline, breaking]
Generated description
Breaking is a competitive, acrobatic street dance style that has evolved into an international sport featured at major urban and multi-sport events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: breaking Target entity description: Breaking is a competitive, acrobatic street dance style that has evolved into an international sport featured at major urban and multi-sport events.
-
A.
Breaking
Breaking is a 2022 American thriller drama film based on a true story, starring John Boyega as a troubled veteran who takes hostages in a bank.
-
B.
Breaking
"Breaking" is a song featured on the album "New Surrender" by the American rock band Anberlin.
-
C.
Broken
"Broken" is a song by Canadian rock band The Guess Who, known for its emotive lyrics and classic rock sound.
-
D.
Broken
"Broken" is a British television drama series starring Sean Bean as a troubled Catholic priest grappling with faith, morality, and the struggles of his working-class parishioners.
-
E.
Broken
"Broken" is a hauntingly melodic indie-folk song by Canadian singer-songwriter Patrick Watson, known for its ethereal vocals and cinematic, atmospheric arrangement.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19ea01c8190b9bb789da32f9a90 |
completed | April 20, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05d35ca6848190a6d6695f9156488d |
completed | May 14, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a05d53fbdf481908f60131dd2fcb15d |
completed | May 14, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d5a12d708190922eb39ce2b515f8 |
completed | May 14, 2026, 2:01 p.m. |
Created at: April 10, 2026, 12:04 p.m.