Triple
T16197807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Public |
E393112
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Marla Hendricks
Marla Hendricks is a sharp-tongued, world-weary high school teacher on the TV series "Boston Public," known for her cynicism, dark humor, and deep care for her students beneath a tough exterior.
|
E1350373
|
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: Marla Hendricks | Statement: [Boston Public, mainCharacter, Marla Hendricks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marla Hendricks Context triple: [Boston Public, mainCharacter, Marla Hendricks]
-
A.
Marcia Henderson
Marcia Henderson was an American actress known for her work in film, television, and theater during the 1950s and early 1960s.
-
B.
Debra Humphries
Debra Humphries is the mother of former NBA player Kris Humphries.
-
C.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
D.
Sandra Davenport
Sandra Davenport is the first wife of American actor and comedian Jim Belushi, with whom she has one son.
-
E.
Marilyn Shank
Marilyn Shank is known as the former spouse of American character actor Dana Elcar, recognized for his work in film and television.
- 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: Marla Hendricks Triple: [Boston Public, mainCharacter, Marla Hendricks]
Generated description
Marla Hendricks is a sharp-tongued, world-weary high school teacher on the TV series "Boston Public," known for her cynicism, dark humor, and deep care for her students beneath a tough exterior.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marla Hendricks Target entity description: Marla Hendricks is a sharp-tongued, world-weary high school teacher on the TV series "Boston Public," known for her cynicism, dark humor, and deep care for her students beneath a tough exterior.
-
A.
Marcia Henderson
Marcia Henderson was an American actress known for her work in film, television, and theater during the 1950s and early 1960s.
-
B.
Debra Humphries
Debra Humphries is the mother of former NBA player Kris Humphries.
-
C.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
D.
Sandra Davenport
Sandra Davenport is the first wife of American actor and comedian Jim Belushi, with whom she has one son.
-
E.
Marilyn Shank
Marilyn Shank is known as the former spouse of American character actor Dana Elcar, recognized for his work in film and television.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222dc6b1c8190a3d8a6451ed8b95a |
completed | April 17, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fa3e4f4819098f1f7bc1f50f985 |
completed | May 14, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_6a05a17e171481908488cb40da91808b |
completed | May 14, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a1f3b8908190b8295a25fff9daba |
completed | May 14, 2026, 10:20 a.m. |
Created at: April 10, 2026, 5:02 a.m.