Triple
T2458658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill Street Blues |
E54480
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Barbara Bosson
Barbara Bosson was an American actress best known for her Emmy-nominated role as Fay Furillo on the groundbreaking police drama "Hill Street Blues."
|
E361018
|
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: Barbara Bosson | Statement: [Hill Street Blues, castMember, Barbara Bosson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Bosson Context triple: [Hill Street Blues, castMember, Barbara Bosson]
-
A.
Barbara Robbins
Barbara Robbins is known as the wife of Jon Lindbergh, the son of famed aviator Charles Lindbergh.
-
B.
Nancy Goodman
Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
-
C.
Audrey Bilger
Audrey Bilger is an American academic and administrator who serves as the president of Reed College in Portland, Oregon.
-
D.
Margaret Shenberg
Margaret Shenberg was the first wife of influential Hollywood film producer and studio executive Louis B. Mayer.
-
E.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
- 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: Barbara Bosson Triple: [Hill Street Blues, castMember, Barbara Bosson]
Generated description
Barbara Bosson was an American actress best known for her Emmy-nominated role as Fay Furillo on the groundbreaking police drama "Hill Street Blues."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barbara Bosson Target entity description: Barbara Bosson was an American actress best known for her Emmy-nominated role as Fay Furillo on the groundbreaking police drama "Hill Street Blues."
-
A.
Barbara Robbins
Barbara Robbins is known as the wife of Jon Lindbergh, the son of famed aviator Charles Lindbergh.
-
B.
Nancy Goodman
Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
-
C.
Audrey Bilger
Audrey Bilger is an American academic and administrator who serves as the president of Reed College in Portland, Oregon.
-
D.
Margaret Shenberg
Margaret Shenberg was the first wife of influential Hollywood film producer and studio executive Louis B. Mayer.
-
E.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd10a35f88190b102a2cb5c88146e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367dc88ac81909e73e290c745b8be |
completed | March 13, 2026, 1:26 a.m. |
| NEDg | Description generation | batch_69b3694c6c4081908549ab83a5052506 |
completed | March 13, 2026, 1:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b369c7a06c819089b2decca626c554 |
completed | March 13, 2026, 1:35 a.m. |
Created at: March 6, 2026, 9:44 p.m.