Triple
T9288140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacy |
E223448
|
entity |
| Predicate | synonym |
P3575
|
FINISHED |
| Object |
Tresallier
Tresallier is a traditional French white grape variety, also known as Sacy, historically used in light, crisp wines from central France.
|
E789778
|
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: Tresallier | Statement: [Sacy, synonym, Tresallier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tresallier Context triple: [Sacy, synonym, Tresallier]
-
A.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
-
B.
Tlass
Tlass is a Syrian family name most prominently associated with Mustafa Tlass, a long-serving defense minister under Hafez al-Assad.
-
C.
Brecheret
Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
-
D.
Taralga
Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
-
E.
Trenyce
Trenyce is an American singer and actress best known for gaining national recognition as a standout finalist on the second season of American Idol.
- 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: Tresallier Triple: [Sacy, synonym, Tresallier]
Generated description
Tresallier is a traditional French white grape variety, also known as Sacy, historically used in light, crisp wines from central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tresallier Target entity description: Tresallier is a traditional French white grape variety, also known as Sacy, historically used in light, crisp wines from central France.
-
A.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
-
B.
Tlass
Tlass is a Syrian family name most prominently associated with Mustafa Tlass, a long-serving defense minister under Hafez al-Assad.
-
C.
Brecheret
Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
-
D.
Taralga
Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
-
E.
Trenyce
Trenyce is an American singer and actress best known for gaining national recognition as a standout finalist on the second season of American Idol.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0861425c81909e3ab11e19cc2f65 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b22753e481908bf19c7da13556d6 |
completed | April 4, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d0b31096108190a118a4c7a8c11133 |
completed | April 4, 2026, 6:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b3d40da08190b25118a0901728da |
completed | April 4, 2026, 6:46 a.m. |
Created at: March 30, 2026, 7:35 p.m.