Triple
T15398966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glassnote Records |
E368258
|
entity |
| Predicate | signedArtist |
P16560
|
FINISHED |
| Object |
GIVERS
GIVERS is an American indie pop band from Louisiana known for its upbeat, rhythmically rich sound blending pop, rock, and world music influences.
|
E1154140
|
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: GIVERS | Statement: [Glassnote Records, signedArtist, GIVERS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GIVERS Context triple: [Glassnote Records, signedArtist, GIVERS]
-
A.
Happy to Give
"Happy to Give" is a song featured on Journey's 1986 album "Raised on Radio."
-
B.
Benefactors
Benefactors is a 1984 play by Michael Frayn that explores the moral and personal complexities of urban redevelopment through the intertwined lives of two couples.
-
C.
Givet
Givet is a small fortified town in northeastern France near the Belgian border, known for its strategic location along the Meuse River.
-
D.
Please Give
Please Give is a 2010 indie dramedy film written and directed by Nicole Holofcener that explores guilt, privilege, and urban relationships among affluent New Yorkers.
-
E.
Donen
Donen is a surname most famously associated with Stanley Donen, the American film director and choreographer known for classic Hollywood musicals such as "Singin' in the Rain."
- 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: GIVERS Triple: [Glassnote Records, signedArtist, GIVERS]
Generated description
GIVERS is an American indie pop band from Louisiana known for its upbeat, rhythmically rich sound blending pop, rock, and world music influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GIVERS Target entity description: GIVERS is an American indie pop band from Louisiana known for its upbeat, rhythmically rich sound blending pop, rock, and world music influences.
-
A.
Happy to Give
"Happy to Give" is a song featured on Journey's 1986 album "Raised on Radio."
-
B.
Benefactors
Benefactors is a 1984 play by Michael Frayn that explores the moral and personal complexities of urban redevelopment through the intertwined lives of two couples.
-
C.
Givet
Givet is a small fortified town in northeastern France near the Belgian border, known for its strategic location along the Meuse River.
-
D.
Please Give
Please Give is a 2010 indie dramedy film written and directed by Nicole Holofcener that explores guilt, privilege, and urban relationships among affluent New Yorkers.
-
E.
Donen
Donen is a surname most famously associated with Stanley Donen, the American film director and choreographer known for classic Hollywood musicals such as "Singin' in the Rain."
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13542c908190abf765b0530c76ce |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff14042ce8819084817836b096f175 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14745a8c81909b10d6b21b88b50b |
completed | May 9, 2026, 11:03 a.m. |
Created at: April 10, 2026, 3:19 a.m.