Triple
T15115233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Bosson |
E361018
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bosson
Bosson is a surname most notably associated with American actress Barbara Bosson, known for her roles in television dramas such as "Hill Street Blues."
|
E1139001
|
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: Bosson | Statement: [Barbara Bosson, familyName, Bosson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bosson Context triple: [Barbara Bosson, familyName, Bosson]
-
A.
Boso
Boso is the fictional dialogue partner and student of Anselm of Canterbury in the theological treatise "Cur Deus Homo," representing the questioning layperson in discussions about the Incarnation and Atonement.
-
B.
Bous
Bous is a municipality in the Saarland region of western Germany, situated near the town of Saarlouis along the Saar River.
-
C.
Bos
Bos is a Dutch surname most notably borne by Bert Bos, a computer scientist and co-creator of the CSS web standard.
-
D.
Bos
Bos is a genus of large bovids that includes domestic cattle and several wild species such as gaur, banteng, and yak.
-
E.
Bosha
Bosha is an alternative name for the Lom people, a Romani-related ethnic group primarily found in the Caucasus region.
- 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: Bosson Triple: [Barbara Bosson, familyName, Bosson]
Generated description
Bosson is a surname most notably associated with American actress Barbara Bosson, known for her roles in television dramas such as "Hill Street Blues."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bosson Target entity description: Bosson is a surname most notably associated with American actress Barbara Bosson, known for her roles in television dramas such as "Hill Street Blues."
-
A.
Boso
Boso is the fictional dialogue partner and student of Anselm of Canterbury in the theological treatise "Cur Deus Homo," representing the questioning layperson in discussions about the Incarnation and Atonement.
-
B.
Bous
Bous is a municipality in the Saarland region of western Germany, situated near the town of Saarlouis along the Saar River.
-
C.
Bos
Bos is a Dutch surname most notably borne by Bert Bos, a computer scientist and co-creator of the CSS web standard.
-
D.
Bos
Bos is a genus of large bovids that includes domestic cattle and several wild species such as gaur, banteng, and yak.
-
E.
Bosha
Bosha is an alternative name for the Lom people, a Romani-related ethnic group primarily found in the Caucasus region.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058f4fb88190a3d446a466aebcf1 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eee6e8819092657c4006456135 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69febbdadec4819094ca57a4f9ab5009 |
completed | May 9, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febca121a48190ae6994e90b0e040c |
completed | May 9, 2026, 4:48 a.m. |
Created at: April 10, 2026, 3:05 a.m.