Triple
T21638185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas and the Magic Railroad |
E534014
|
entity |
| Predicate | hasTrainCharacter |
P108254
|
FINISHED |
| Object |
Gordon
Gordon is a large, proud blue express engine from the Thomas & Friends universe, known for pulling the main express train and appearing in the film "Thomas and the Magic Railroad."
|
E1493796
|
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: Gordon | Statement: [Thomas and the Magic Railroad, hasTrainCharacter, Gordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gordon Context triple: [Thomas and the Magic Railroad, hasTrainCharacter, Gordon]
-
A.
Gordon
Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
-
B.
Gordon
Gordon is a small village in the Scottish Borders region of southeastern Scotland, historically part of Berwickshire.
-
C.
Gordon
Gordon is the birth name of the English musician and former Police frontman known professionally as Sting.
-
D.
Gordon
Gordon is a masculine given name of English origin, often associated with notable figures in politics, entertainment, and sports.
-
E.
Gordon
Gordon is an animated character best known for being voiced by actor John Ratzenberger.
- 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: Gordon Triple: [Thomas and the Magic Railroad, hasTrainCharacter, Gordon]
Generated description
Gordon is a large, proud blue express engine from the Thomas & Friends universe, known for pulling the main express train and appearing in the film "Thomas and the Magic Railroad."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gordon Target entity description: Gordon is a large, proud blue express engine from the Thomas & Friends universe, known for pulling the main express train and appearing in the film "Thomas and the Magic Railroad."
-
A.
Gordon
Gordon is a friendly human character on Sesame Street who often interacts with the Muppets and helps teach children about community and kindness.
-
B.
Gordon
Gordon is an animated character best known for being voiced by actor John Ratzenberger.
-
C.
Gordon
Gordon is a masculine given name of English origin, often associated with notable figures in politics, entertainment, and sports.
-
D.
Gordon
Gordon is a common English and Scottish surname borne by numerous notable figures across politics, sports, entertainment, and other fields.
-
E.
Gordon
Gordon is a UK parliamentary constituency in northeast Scotland, centered on parts of Aberdeenshire and known for its mix of rural communities and commuter towns.
- 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.