Triple
T8988622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ColleGrove |
E214731
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Bentley Truck
Bentley Truck is a song by 2 Chainz and Lil Wayne from their collaborative album "ColleGrove."
|
E772041
|
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: Bentley Truck | Statement: [ColleGrove, hasPart, Bentley Truck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bentley Truck Context triple: [ColleGrove, hasPart, Bentley Truck]
-
A.
Kenworth
Kenworth is a prominent American manufacturer of heavy-duty and medium-duty trucks known for their durability and use in commercial freight and vocational applications.
-
B.
Leyland Trucks
Leyland Trucks is a British commercial vehicle manufacturer known for producing medium and heavy-duty trucks, now operating as part of the global PACCAR group.
-
C.
Mack Trucks
Mack Trucks is a historic American truck manufacturing company best known for its heavy-duty commercial vehicles and iconic bulldog logo.
-
D.
Peterbilt
Peterbilt is an American manufacturer of premium heavy-duty and medium-duty trucks known for their durability, performance, and iconic styling.
-
E.
Rockwell trucks
Rockwell trucks are a type of railcar bogie assembly used on New York City’s R46 subway cars, designed to support and guide the cars along the tracks.
- 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: Bentley Truck Triple: [ColleGrove, hasPart, Bentley Truck]
Generated description
Bentley Truck is a song by 2 Chainz and Lil Wayne from their collaborative album "ColleGrove."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bentley Truck Target entity description: Bentley Truck is a song by 2 Chainz and Lil Wayne from their collaborative album "ColleGrove."
-
A.
Kenworth
Kenworth is a prominent American manufacturer of heavy-duty and medium-duty trucks known for their durability and use in commercial freight and vocational applications.
-
B.
Leyland Trucks
Leyland Trucks is a British commercial vehicle manufacturer known for producing medium and heavy-duty trucks, now operating as part of the global PACCAR group.
-
C.
Mack Trucks
Mack Trucks is a historic American truck manufacturing company best known for its heavy-duty commercial vehicles and iconic bulldog logo.
-
D.
Peterbilt
Peterbilt is an American manufacturer of premium heavy-duty and medium-duty trucks known for their durability, performance, and iconic styling.
-
E.
Rockwell trucks
Rockwell trucks are a type of railcar bogie assembly used on New York City’s R46 subway cars, designed to support and guide the cars along the tracks.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67f0fed8819098ef3c88f9ef8045 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0c58c94819095979b82a50cb77d |
completed | April 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69cfd1a32a64819090d423a99ab75362 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd250593881908312200ba7bba617 |
completed | April 3, 2026, 2:44 p.m. |
Created at: March 30, 2026, 7:04 p.m.