Triple
T21638182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas and the Magic Railroad |
E534014
|
entity |
| Predicate | hasTrainCharacter |
P108254
|
FINISHED |
| Object |
Percy
Percy is a small green saddle tank engine from the Thomas & Friends franchise, known for his youthful enthusiasm, loyalty, and occasional nervousness.
|
E1493794
|
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: Percy | Statement: [Thomas and the Magic Railroad, hasTrainCharacter, Percy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Percy Context triple: [Thomas and the Magic Railroad, hasTrainCharacter, Percy]
-
A.
Percy
Percy is a character connected to the Paradise Falls diner, likely serving as one of its notable staff or regular patrons within its narrative setting.
-
B.
Percy
Percy is a masculine given name of Old French origin, famously borne by American physicist and Nobel laureate Percy W. Bridgman.
-
C.
Percy
Percy is the historic English noble family that produced numerous prominent aristocrats, soldiers, and politicians, notably the Dukes of Northumberland.
-
D.
Percy
Percy is a sadistic and cowardly prison guard from Stephen King’s novel "The Green Mile" and its film adaptation.
-
E.
Percy LeSueur
Percy LeSueur was a prominent early 20th-century Canadian ice hockey goaltender and later coach and manager, recognized as a Hall of Famer for his contributions to the sport.
- 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: Percy Triple: [Thomas and the Magic Railroad, hasTrainCharacter, Percy]
Generated description
Percy is a small green saddle tank engine from the Thomas & Friends franchise, known for his youthful enthusiasm, loyalty, and occasional nervousness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Percy Target entity description: Percy is a small green saddle tank engine from the Thomas & Friends franchise, known for his youthful enthusiasm, loyalty, and occasional nervousness.
-
A.
Percy
Percy is a masculine given name of Old French origin, famously borne by American physicist and Nobel laureate Percy W. Bridgman.
-
B.
Percy
Percy is the historic English noble family that produced numerous prominent aristocrats, soldiers, and politicians, notably the Dukes of Northumberland.
-
C.
Percy
Percy is a sadistic and cowardly prison guard from Stephen King’s novel "The Green Mile" and its film adaptation.
-
D.
Percy
Percy is a character connected to the Paradise Falls diner, likely serving as one of its notable staff or regular patrons within its narrative setting.
-
E.
Percy LeSueur
Percy LeSueur was a prominent early 20th-century Canadian ice hockey goaltender and later coach and manager, recognized as a Hall of Famer for his contributions to the sport.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538eef0481908f5bf0e27f8e054d |
completed | April 27, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0f9de1fc8190bd44ba90877385c1 |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a106d521481909aff885d50adbda1 |
completed | May 17, 2026, 7:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a10e6cda481908c263911f681c337 |
completed | May 17, 2026, 7:03 p.m. |
Created at: April 16, 2026, 6:35 p.m.