Triple
T3378571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banana |
E71124
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object |
Cucumber
Cucumber is a widely cultivated vine plant known for its elongated green fruit, commonly eaten fresh in salads or pickled as a vegetable.
|
E352374
|
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: Cucumber | Statement: [Banana, relatedWork, Cucumber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cucumber Context triple: [Banana, relatedWork, Cucumber]
-
A.
Cucumber
Cucumber is a British television drama series created and written by Russell T Davies that explores the lives and relationships of gay men in contemporary Manchester.
-
B.
Chard
Chard is a historic market town in Somerset, England, often noted for its claim as the birthplace of powered flight and as one of the county’s southernmost towns.
-
C.
Spinacia
Spinacia is a small genus of flowering plants best known for including spinach, an important leafy vegetable cultivated worldwide for food.
-
D.
Benincasa
Benincasa is an Italian surname historically associated with the family of the medieval mystic and saint Catherine of Siena.
-
E.
Peruna
Peruna is the live Shetland pony that serves as the official mascot of Southern Methodist University's athletic teams.
- 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: Cucumber Triple: [Banana, relatedWork, Cucumber]
Generated description
Cucumber is a widely cultivated vine plant known for its elongated green fruit, commonly eaten fresh in salads or pickled as a vegetable.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cucumber Target entity description: Cucumber is a widely cultivated vine plant known for its elongated green fruit, commonly eaten fresh in salads or pickled as a vegetable.
-
A.
Cucumber
Cucumber is a British television drama series created and written by Russell T Davies that explores the lives and relationships of gay men in contemporary Manchester.
-
B.
Chard
Chard is a historic market town in Somerset, England, often noted for its claim as the birthplace of powered flight and as one of the county’s southernmost towns.
-
C.
Spinacia
Spinacia is a small genus of flowering plants best known for including spinach, an important leafy vegetable cultivated worldwide for food.
-
D.
Benincasa
Benincasa is an Italian surname historically associated with the family of the medieval mystic and saint Catherine of Siena.
-
E.
Peruna
Peruna is the live Shetland pony that serves as the official mascot of Southern Methodist University's athletic teams.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2eacb5c81908071a1dacc9a897a |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3344c0698819082d856d8be7f2c18 |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334e661ac8190b8ff974c9568caf8 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3354fe7748190a0324551d1a8bc1b |
completed | March 12, 2026, 9:51 p.m. |
Created at: March 8, 2026, 3:14 p.m.