Triple
T17360487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air |
E422054
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | 10 000 Hz Legend |
—
|
NE ONDG |
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: 10 000 Hz Legend | Statement: [Air, notableWork, 10 000 Hz Legend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 10 000 Hz Legend Context triple: [Air, notableWork, 10 000 Hz Legend]
-
A.
Legenda
"Legenda" is a dramatic or literary work by Polish playwright, painter, and poet Stanisław Wyspiański, reflecting his characteristic blend of symbolism and national themes.
-
B.
Die a Legend
Die a Legend is the critically acclaimed debut studio album by American rapper Polo G, known for its melodic drill sound and introspective storytelling.
-
C.
The Legend
The Legend is an album by South African Afro-fusion band Freshlyground that showcases their signature blend of pop, rock, and traditional African musical influences.
-
D.
True Legend
True Legend is a 2010 Chinese martial arts film known for its elaborate fight choreography and fantastical action, directed by renowned action choreographer Yuen Woo-ping.
-
E.
Leyenda
"Leyenda" is the popular title of Isaac Albéniz’s famous piano piece from the Suite española No. 1, Op. 47, renowned for its virtuosic, guitar-like writing and evocative Spanish character.
- 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: 10 000 Hz Legend Triple: [Air, notableWork, 10 000 Hz Legend]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 10 000 Hz Legend Target entity description: 10 000 Hz Legend is a 2001 studio album by the French electronic music duo Air, known for its experimental, atmospheric sound and intricate production.
-
A.
Legenda
"Legenda" is a dramatic or literary work by Polish playwright, painter, and poet Stanisław Wyspiański, reflecting his characteristic blend of symbolism and national themes.
-
B.
Die a Legend
Die a Legend is the critically acclaimed debut studio album by American rapper Polo G, known for its melodic drill sound and introspective storytelling.
-
C.
The Legend
The Legend is an album by South African Afro-fusion band Freshlyground that showcases their signature blend of pop, rock, and traditional African musical influences.
-
D.
True Legend
True Legend is a 2010 Chinese martial arts film known for its elaborate fight choreography and fantastical action, directed by renowned action choreographer Yuen Woo-ping.
-
E.
Leyenda
"Leyenda" is the popular title of Isaac Albéniz’s famous piano piece from the Suite española No. 1, Op. 47, renowned for its virtuosic, guitar-like writing and evocative Spanish character.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 5:44 a.m.