Triple
T19861756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bella Donna |
E477281
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Bobbye Hall
Bobbye Hall is an American percussionist and session musician known for her extensive work with prominent rock and pop artists in the 1970s and 1980s.
|
E1397858
|
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: Bobbye Hall | Statement: [Bella Donna, featuresArtist, Bobbye Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobbye Hall Context triple: [Bella Donna, featuresArtist, Bobbye Hall]
-
A.
Gladys Hill
Gladys Hill was an American screenwriter best known for co-writing the acclaimed 1975 adventure film "The Man Who Would Be King," directed by John Huston.
-
B.
Onnie McIntyre
Onnie McIntyre is a Scottish guitarist best known as a founding member of the funk and R&B group Average White Band.
-
C.
Coney Weston
Coney Weston is a small rural village and civil parish in the English county of Suffolk.
-
D.
Laney Boggs
Laney Boggs is the shy, artistic high school outcast who becomes the focus of a transformative makeover and romantic bet in the teen film "She's All That."
-
E.
Beryl Smalley
Beryl Smalley was a prominent 20th-century British medieval historian best known for her influential work on biblical scholarship and exegesis in the Middle Ages.
- 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: Bobbye Hall Triple: [Bella Donna, featuresArtist, Bobbye Hall]
Generated description
Bobbye Hall is an American percussionist and session musician known for her extensive work with prominent rock and pop artists in the 1970s and 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bobbye Hall Target entity description: Bobbye Hall is an American percussionist and session musician known for her extensive work with prominent rock and pop artists in the 1970s and 1980s.
-
A.
Gladys Hill
Gladys Hill was an American screenwriter best known for co-writing the acclaimed 1975 adventure film "The Man Who Would Be King," directed by John Huston.
-
B.
Onnie McIntyre
Onnie McIntyre is a Scottish guitarist best known as a founding member of the funk and R&B group Average White Band.
-
C.
Coney Weston
Coney Weston is a small rural village and civil parish in the English county of Suffolk.
-
D.
Laney Boggs
Laney Boggs is the shy, artistic high school outcast who becomes the focus of a transformative makeover and romantic bet in the teen film "She's All That."
-
E.
Beryl Smalley
Beryl Smalley was a prominent 20th-century British medieval historian best known for her influential work on biblical scholarship and exegesis in the Middle Ages.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589b3cbc8190afe847e83f04c45b |
completed | April 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d449ad9c8190a2ee27fa43a3fe4f |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d4d803148190ab253f960a238be3 |
completed | May 16, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d54b2bf481909747dff0158b1a81 |
completed | May 16, 2026, 2:24 a.m. |
Created at: April 10, 2026, 1:51 p.m.