Triple
T5920803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Magnolia |
E131693
|
entity |
| Predicate | hasLiveVersionOn |
P21537
|
FINISHED |
| Object |
Road Trips
Road Trips is a series of live concert recordings by the Grateful Dead, released as archival albums highlighting notable performances from the band’s touring history.
|
E555833
|
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 Trips | Statement: [Sugar Magnolia, hasLiveVersionOn, Road Trips]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Road Trips Context triple: [Sugar Magnolia, hasLiveVersionOn, Road Trips]
-
A.
Road Trip
"Road Trip" is a 2000 American comedy film about a chaotic cross-country journey to retrieve an accidentally mailed explicit videotape.
-
B.
Trip
Trip is a 2017 psychedelic R&B concept album by Jhené Aiko that explores themes of grief, healing, and spiritual journey.
-
C.
Road Rewards
Road Rewards is Greyhound Lines' customer loyalty program that offers points and benefits to frequent bus travelers.
-
D.
Roadside
"Roadside" is a 1929 stage comedy by American playwright Lynn Riggs that humorously portrays life and romance in the rural American Southwest.
-
E.
Travelling
Travelling is an episode of the BBC nature documentary series "The Private Life of Plants," focusing on how plants disperse and move to colonize new environments.
- 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 Trips Triple: [Sugar Magnolia, hasLiveVersionOn, Road Trips]
Generated description
Road Trips is a series of live concert recordings by the Grateful Dead, released as archival albums highlighting notable performances from the band’s touring history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Road Trips Target entity description: Road Trips is a series of live concert recordings by the Grateful Dead, released as archival albums highlighting notable performances from the band’s touring history.
-
A.
Road Trip
"Road Trip" is a 2000 American comedy film about a chaotic cross-country journey to retrieve an accidentally mailed explicit videotape.
-
B.
Trip
Trip is a 2017 psychedelic R&B concept album by Jhené Aiko that explores themes of grief, healing, and spiritual journey.
-
C.
Road Rewards
Road Rewards is Greyhound Lines' customer loyalty program that offers points and benefits to frequent bus travelers.
-
D.
Roadside
"Roadside" is a 1929 stage comedy by American playwright Lynn Riggs that humorously portrays life and romance in the rural American Southwest.
-
E.
Travelling
Travelling is an episode of the BBC nature documentary series "The Private Life of Plants," focusing on how plants disperse and move to colonize new environments.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038019ea081908e652d74ff23f076 |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c041d4f08190863141b037b1c05f |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c1db6d548190ba4be143aa7c7905 |
completed | March 23, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c2bdd44881909aa85589d31e771a |
completed | March 23, 2026, 4:34 a.m. |
Created at: March 22, 2026, 4 p.m.