Triple
T15920340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 40 Melodies |
E386076
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object |
Mister Ibe
Mister Ibe is a music label associated with the release of the album "40 Melodies."
|
E1184049
|
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: Mister Ibe | Statement: [40 Melodies, recordLabel, Mister Ibe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mister Ibe Context triple: [40 Melodies, recordLabel, Mister Ibe]
-
A.
Mister Johnson
Mister Johnson is a 1990 drama film directed by Bruce Beresford, adapted from Joyce Cary’s novel about a Nigerian clerk navigating British colonial rule in the 1920s.
-
B.
Mr. Boray
Mr. Boray is a fictional character who appears as a family figure connected to the protagonist Paul Boray in the film "Humoresque."
-
C.
Mr. Mudd
Mr. Mudd is a film and television production company known for producing acclaimed independent and character-driven projects.
-
D.
Mr. Boncassen
Mr. Boncassen is a scholarly American gentleman in Anthony Trollope’s Palliser novels, known as the learned and socially unpretentious father of Isabel Boncassen.
-
E.
Mr. Eko
Mr. Eko is a mysterious, deeply spiritual former warlord turned priest and crash survivor on the television series "Lost," known for his imposing presence and moral complexity.
- 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: Mister Ibe Triple: [40 Melodies, recordLabel, Mister Ibe]
Generated description
Mister Ibe is a music label associated with the release of the album "40 Melodies."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mister Ibe Target entity description: Mister Ibe is a music label associated with the release of the album "40 Melodies."
-
A.
Mister Johnson
Mister Johnson is a 1990 drama film directed by Bruce Beresford, adapted from Joyce Cary’s novel about a Nigerian clerk navigating British colonial rule in the 1920s.
-
B.
Mr. Boray
Mr. Boray is a fictional character who appears as a family figure connected to the protagonist Paul Boray in the film "Humoresque."
-
C.
Mr. Mudd
Mr. Mudd is a film and television production company known for producing acclaimed independent and character-driven projects.
-
D.
Mr. Boncassen
Mr. Boncassen is a scholarly American gentleman in Anthony Trollope’s Palliser novels, known as the learned and socially unpretentious father of Isabel Boncassen.
-
E.
Mr. Eko
Mr. Eko is a mysterious, deeply spiritual former warlord turned priest and crash survivor on the television series "Lost," known for his imposing presence and moral complexity.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15680c7b881909150f8b53bc058d4 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a96e508190a64c2be6dc506e86 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb62f3d8881908ede4a9a4b53bef2 |
completed | May 9, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb6f3154481909632913f4d7cfdba |
completed | May 9, 2026, 10:36 p.m. |
Created at: April 10, 2026, 4:52 a.m.