Triple
T3388542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helyett–Potin |
E71360
|
entity |
| Predicate | sponsoredBy |
P67
|
FINISHED |
| Object |
Potin
Potin was a French company best known for co-sponsoring the mid-20th-century professional cycling team Helyett–Potin.
|
E353546
|
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: Potin | Statement: [Helyett–Potin, sponsoredBy, Potin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Potin Context triple: [Helyett–Potin, sponsoredBy, Potin]
-
A.
Old Grog
Old Grog was the nickname of British Admiral Edward Vernon, known for his role in the Royal Navy and for introducing diluted rum rations to sailors.
-
B.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
-
C.
Livermead
Livermead is a coastal residential area of Torquay in Devon, England, known for its seafront location and proximity to the town’s beaches and amenities.
-
D.
Jug
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
E.
the Teapot
The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
- 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: Potin Triple: [Helyett–Potin, sponsoredBy, Potin]
Generated description
Potin was a French company best known for co-sponsoring the mid-20th-century professional cycling team Helyett–Potin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Potin Target entity description: Potin was a French company best known for co-sponsoring the mid-20th-century professional cycling team Helyett–Potin.
-
A.
Old Grog
Old Grog was the nickname of British Admiral Edward Vernon, known for his role in the Royal Navy and for introducing diluted rum rations to sailors.
-
B.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
-
C.
Livermead
Livermead is a coastal residential area of Torquay in Devon, England, known for its seafront location and proximity to the town’s beaches and amenities.
-
D.
Jug
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
E.
the Teapot
The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb665c6008190b33994ef20f5bd61 |
completed | March 8, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33458130881908a2b47abd91f4ea8 |
completed | March 12, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_69b3389541a081909631f7cc0586d5e2 |
completed | March 12, 2026, 10:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b338f4f9b48190bd3c8f89d3c6b9ba |
completed | March 12, 2026, 10:06 p.m. |
Created at: March 8, 2026, 3:14 p.m.