Triple
T20861774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don McKay |
E513636
|
entity |
| Predicate | hasWrittenWork |
P4
|
FINISHED |
| Object |
Lependu
Lependu is a poetry collection by Canadian poet Don McKay, noted for its lyrical engagement with nature and the human imagination.
|
E1454253
|
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: Lependu | Statement: [Don McKay, hasWrittenWork, Lependu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lependu Context triple: [Don McKay, hasWrittenWork, Lependu]
-
A.
Tazzelenghe
Tazzelenghe is a rare, intensely tannic red wine grape native to Italy’s Friuli region, known for producing deeply colored, robust wines with pronounced acidity and dark fruit flavors.
-
B.
Labanyabati
Labanyabati is a celebrated Odia poetic work by Upendra Bhanja, renowned for its ornate language and romantic themes in medieval Odia literature.
-
C.
Walewale
Walewale is a town in northern Ghana that serves as a key local commercial and administrative center.
-
D.
Lendelede
Lendelede is a municipality in the Belgian province of West Flanders, known for its rural character and location near the city of Kortrijk.
-
E.
Pendeen
Pendeen is a coastal village in west Cornwall, England, known for its rugged cliffs, mining heritage, and proximity to historic tin mines.
- 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: Lependu Triple: [Don McKay, hasWrittenWork, Lependu]
Generated description
Lependu is a poetry collection by Canadian poet Don McKay, noted for its lyrical engagement with nature and the human imagination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lependu Target entity description: Lependu is a poetry collection by Canadian poet Don McKay, noted for its lyrical engagement with nature and the human imagination.
-
A.
Tazzelenghe
Tazzelenghe is a rare, intensely tannic red wine grape native to Italy’s Friuli region, known for producing deeply colored, robust wines with pronounced acidity and dark fruit flavors.
-
B.
Labanyabati
Labanyabati is a celebrated Odia poetic work by Upendra Bhanja, renowned for its ornate language and romantic themes in medieval Odia literature.
-
C.
Walewale
Walewale is a town in northern Ghana that serves as a key local commercial and administrative center.
-
D.
Lendelede
Lendelede is a municipality in the Belgian province of West Flanders, known for its rural character and location near the city of Kortrijk.
-
E.
Pendeen
Pendeen is a coastal village in west Cornwall, England, known for its rugged cliffs, mining heritage, and proximity to historic tin mines.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3ad3d1c8190be2fe35a85f2447c |
completed | April 21, 2026, 12:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090b0f5c088190a2db09ce9ecbfcc3 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090bc252dc8190a96a98b2160826b5 |
completed | May 17, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090cc818b4819089ed588d3e460aa2 |
completed | May 17, 2026, 12:33 a.m. |
Created at: April 16, 2026, 12:44 p.m.