Triple
T22391383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remission |
E553519
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Workhorse
"Workhorse" is a track by the American metal band Remission, known for its heavy sound and intense, driving energy.
|
E1534197
|
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: Workhorse | Statement: [Remission, hasTrack, Workhorse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Workhorse Context triple: [Remission, hasTrack, Workhorse]
-
A.
MotivePower Industries
MotivePower Industries is an American locomotive manufacturer known for producing modern diesel-electric passenger and freight locomotives for North American railroads.
-
B.
Vectron DC
Vectron DC is a direct-current electric locomotive variant in Siemens' Vectron family, designed for freight and passenger operations on DC-electrified rail networks.
-
C.
Electrostar
Electrostar is a widely used family of British electric multiple-unit commuter trains built by Bombardier for suburban and regional services.
-
D.
Vectron
Vectron is a family of modular electric and diesel-electric locomotives developed by Siemens for versatile passenger and freight operations across European rail networks.
-
E.
Manley Power
Manley Power was a British Army officer and general noted for his service during the Napoleonic Wars.
- 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: Workhorse Triple: [Remission, hasTrack, Workhorse]
Generated description
"Workhorse" is a track by the American metal band Remission, known for its heavy sound and intense, driving energy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Workhorse Target entity description: "Workhorse" is a track by the American metal band Remission, known for its heavy sound and intense, driving energy.
-
A.
MotivePower Industries
MotivePower Industries is an American locomotive manufacturer known for producing modern diesel-electric passenger and freight locomotives for North American railroads.
-
B.
Vectron DC
Vectron DC is a direct-current electric locomotive variant in Siemens' Vectron family, designed for freight and passenger operations on DC-electrified rail networks.
-
C.
Electrostar
Electrostar is a widely used family of British electric multiple-unit commuter trains built by Bombardier for suburban and regional services.
-
D.
Vectron
Vectron is a family of modular electric and diesel-electric locomotives developed by Siemens for versatile passenger and freight operations across European rail networks.
-
E.
Manley Power
Manley Power was a British Army officer and general noted for his service during the Napoleonic Wars.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585b56208190b53b90a81a807a9d |
completed | April 29, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9c1df908190900ce586564604ca |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aea82afc88190973444a331faa1a2 |
completed | May 18, 2026, 10:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeb4ce6d48190ac9281afb7b43391 |
completed | May 18, 2026, 10:34 a.m. |
Created at: April 16, 2026, 8:45 p.m.