Triple
T8544473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rush |
E202283
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Red Barchetta
"Red Barchetta" is a popular progressive rock song by the Canadian band Rush, known for its vivid, futuristic narrative and dynamic instrumental work.
|
E741235
|
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: Red Barchetta | Statement: [Rush, notableSong, Red Barchetta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Barchetta Context triple: [Rush, notableSong, Red Barchetta]
-
A.
Monza Redline
Monza Redline is a sportier, style-focused trim level of the Chinese-market Chevrolet Monza sedan, featuring distinctive black-and-red design accents and upgraded visual details.
-
B.
Carrera
Carrera is a Spanish-language surname of Basque origin borne by various notable figures in Hispanic history and culture.
-
C.
Carrera
Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
-
D.
Rosso corsa
Rosso corsa is the traditional bright red national racing color historically associated with Italian racing cars and teams.
-
E.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
- 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: Red Barchetta Triple: [Rush, notableSong, Red Barchetta]
Generated description
"Red Barchetta" is a popular progressive rock song by the Canadian band Rush, known for its vivid, futuristic narrative and dynamic instrumental work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Barchetta Target entity description: "Red Barchetta" is a popular progressive rock song by the Canadian band Rush, known for its vivid, futuristic narrative and dynamic instrumental work.
-
A.
Monza Redline
Monza Redline is a sportier, style-focused trim level of the Chinese-market Chevrolet Monza sedan, featuring distinctive black-and-red design accents and upgraded visual details.
-
B.
Carrera
Carrera is a Spanish-language surname of Basque origin borne by various notable figures in Hispanic history and culture.
-
C.
Carrera
Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
-
D.
Rosso corsa
Rosso corsa is the traditional bright red national racing color historically associated with Italian racing cars and teams.
-
E.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e4e21c8190afcbca73713a5fa8 |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6db3eef08190934f5b42807ad769 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:18 p.m.