Triple
T18422280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Guess Who |
E442048
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object |
Road Food
Road Food is a 1974 rock album by Canadian band The Guess Who, known for its blend of hard rock and pop influences during the group’s later period.
|
E1323471
|
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: Road Food | Statement: [The Guess Who, notableAlbum, Road Food]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Road Food Context triple: [The Guess Who, notableAlbum, Road Food]
-
A.
Chew Road
Chew Road is a moorland track in the Saddleworth area of the Peak District, England, leading up to the remote Chew Reservoir and surrounding upland scenery.
-
B.
Fort Road Food Street
Fort Road Food Street is a popular culinary and tourist hub in Lahore, Pakistan, known for its traditional architecture and wide variety of local Punjabi cuisine.
-
C.
Road
"Road" is a film featuring actor Ebon Moss-Bachrach in a significant role.
-
D.
Snake Road
Snake Road is a roadway in the Peak District of England known for its winding route through the moorland landscape.
-
E.
Roadside
"Roadside" is a 1929 stage comedy by American playwright Lynn Riggs that humorously portrays life and romance in the rural American Southwest.
- 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: Road Food Triple: [The Guess Who, notableAlbum, Road Food]
Generated description
Road Food is a 1974 rock album by Canadian band The Guess Who, known for its blend of hard rock and pop influences during the group’s later period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Road Food Target entity description: Road Food is a 1974 rock album by Canadian band The Guess Who, known for its blend of hard rock and pop influences during the group’s later period.
-
A.
Chew Road
Chew Road is a moorland track in the Saddleworth area of the Peak District, England, leading up to the remote Chew Reservoir and surrounding upland scenery.
-
B.
Fort Road Food Street
Fort Road Food Street is a popular culinary and tourist hub in Lahore, Pakistan, known for its traditional architecture and wide variety of local Punjabi cuisine.
-
C.
Road
"Road" is a film featuring actor Ebon Moss-Bachrach in a significant role.
-
D.
Snake Road
Snake Road is a roadway in the Peak District of England known for its winding route through the moorland landscape.
-
E.
Roadside
"Roadside" is a 1929 stage comedy by American playwright Lynn Riggs that humorously portrays life and romance in the rural American Southwest.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2c98b0819082672174bf69b88c |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f0a7e788819080ab4b25f489726e |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03f1e4007c8190b84dbbf7e3afcc80 |
completed | May 13, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f25e93bc8190910ce6037dc1bcea |
completed | May 13, 2026, 3:39 a.m. |
Created at: April 10, 2026, 10:47 a.m.