Triple
T8946476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of New Brunswick |
E213232
|
entity |
| Predicate | officeHeldBy |
P537
|
FINISHED |
| Object |
Brenda Murphy
Brenda Murphy is a Canadian public figure and community advocate who serves as the lieutenant governor of the province of New Brunswick.
|
E768039
|
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: Brenda Murphy | Statement: [Lieutenant Governor of New Brunswick, officeHeldBy, Brenda Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brenda Murphy Context triple: [Lieutenant Governor of New Brunswick, officeHeldBy, Brenda Murphy]
-
A.
Colleen McNally
Colleen McNally was the wife of prominent American politician and newspaper publisher William F. Knowland.
-
B.
Colleen Murphy
Colleen Murphy is a Canadian playwright, filmmaker, and librettist renowned for her powerful, emotionally intense stage works.
-
C.
Janel Moloney
Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
-
D.
Brenda Joyce
Brenda Joyce was an American film actress best known for her roles in 1930s and 1940s Hollywood productions, including several Tarzan films.
-
E.
Kate Nelligan
Kate Nelligan is a Canadian actress acclaimed for her work in film, television, and theatre, noted for her intense dramatic performances and multiple award nominations.
- 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: Brenda Murphy Triple: [Lieutenant Governor of New Brunswick, officeHeldBy, Brenda Murphy]
Generated description
Brenda Murphy is a Canadian public figure and community advocate who serves as the lieutenant governor of the province of New Brunswick.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brenda Murphy Target entity description: Brenda Murphy is a Canadian public figure and community advocate who serves as the lieutenant governor of the province of New Brunswick.
-
A.
Colleen McNally
Colleen McNally was the wife of prominent American politician and newspaper publisher William F. Knowland.
-
B.
Colleen Murphy
Colleen Murphy is a Canadian playwright, filmmaker, and librettist renowned for her powerful, emotionally intense stage works.
-
C.
Janel Moloney
Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
-
D.
Brenda Joyce
Brenda Joyce was an American film actress best known for her roles in 1930s and 1940s Hollywood productions, including several Tarzan films.
-
E.
Kate Nelligan
Kate Nelligan is a Canadian actress acclaimed for her work in film, television, and theatre, noted for her intense dramatic performances and multiple award nominations.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66dd00c481908ff20fd66c1954cc |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1fcb44481908324220aeba1f4e2 |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc31798ec81908c200dd17be5e785 |
completed | April 3, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc44441208190a6b588c0609511fb |
completed | April 3, 2026, 1:44 p.m. |
Created at: March 30, 2026, 6:59 p.m.