Triple
T5397642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cantos |
E120695
|
entity |
| Predicate | structure |
P130
|
FINISHED |
| Object |
cantos
Cantos are the major divisions or sections of a long narrative or epic poem, similar to chapters in a novel.
|
E516701
|
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: cantos | Statement: [The Cantos, structure, cantos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: cantos Context triple: [The Cantos, structure, cantos]
-
A.
Canti
Canti is a celebrated collection of lyric poems by Italian Romantic poet Giacomo Leopardi, known for its philosophical depth and melancholic reflection on the human condition.
-
B.
CANT
CANT was an Italian aircraft manufacturer known for producing military and civilian seaplanes and bombers, particularly during the interwar and World War II periods.
-
C.
Canta
Canta is a town in Peru that serves as the administrative and commercial center of Canta Province in the Lima Region.
-
D.
Cantate
Cantate is a choral-orchestral composition by Igor Markevitch that showcases his distinctive modernist style and intricate vocal writing.
-
E.
Canzo
Canzo is a small town in the Lombardy region of northern Italy, known for its scenic pre-Alpine setting and historic cultural traditions.
- 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: cantos Triple: [The Cantos, structure, cantos]
Generated description
Cantos are the major divisions or sections of a long narrative or epic poem, similar to chapters in a novel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: cantos Target entity description: Cantos are the major divisions or sections of a long narrative or epic poem, similar to chapters in a novel.
-
A.
Canti
Canti is a celebrated collection of lyric poems by Italian Romantic poet Giacomo Leopardi, known for its philosophical depth and melancholic reflection on the human condition.
-
B.
CANT
CANT was an Italian aircraft manufacturer known for producing military and civilian seaplanes and bombers, particularly during the interwar and World War II periods.
-
C.
Canta
Canta is a town in Peru that serves as the administrative and commercial center of Canta Province in the Lima Region.
-
D.
Cantate
Cantate is a choral-orchestral composition by Igor Markevitch that showcases his distinctive modernist style and intricate vocal writing.
-
E.
Canzo
Canzo is a small town in the Lombardy region of northern Italy, known for its scenic pre-Alpine setting and historic cultural traditions.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87485d5c819096ae574b1badc9d5 |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3379aae881909217c29aee856e5d |
completed | March 22, 2026, 12:10 a.m. |
| NEDg | Description generation | batch_69bf33f58bc48190a3ac42d637f4a052 |
completed | March 22, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf34882fdc8190acab540c5ff07bd8 |
completed | March 22, 2026, 12:15 a.m. |
Created at: March 20, 2026, 2:04 p.m.