Triple
T14729888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominic Purcell |
E346041
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Joseph Purcell
Joseph Purcell is one of the children of actor Dominic Purcell, known for his role in the television series "Prison Break."
|
E1116771
|
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: Joseph Purcell | Statement: [Dominic Purcell, hasChild, Joseph Purcell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Purcell Context triple: [Dominic Purcell, hasChild, Joseph Purcell]
-
A.
Paul Tazewell
Paul Tazewell is a Tony Award–winning American costume designer renowned for his work on Broadway productions and other major stage and screen projects.
-
B.
Edward Talbot
Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
-
C.
Joseph Hepworth
Joseph Hepworth was a 19th-century British clothing manufacturer and entrepreneur whose tailoring business evolved into what is now the fashion retailer Next plc.
-
D.
John Bevan
John Bevan was a British intelligence officer who played a key role in planning and overseeing Allied deception operations during World War II.
-
E.
Samuel Chappell
Samuel Chappell was a British music publisher best known as the founder of the influential London-based firm Chappell & Co.
- 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: Joseph Purcell Triple: [Dominic Purcell, hasChild, Joseph Purcell]
Generated description
Joseph Purcell is one of the children of actor Dominic Purcell, known for his role in the television series "Prison Break."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joseph Purcell Target entity description: Joseph Purcell is one of the children of actor Dominic Purcell, known for his role in the television series "Prison Break."
-
A.
Paul Tazewell
Paul Tazewell is a Tony Award–winning American costume designer renowned for his work on Broadway productions and other major stage and screen projects.
-
B.
Edward Talbot
Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
-
C.
Joseph Hepworth
Joseph Hepworth was a 19th-century British clothing manufacturer and entrepreneur whose tailoring business evolved into what is now the fashion retailer Next plc.
-
D.
John Bevan
John Bevan was a British intelligence officer who played a key role in planning and overseeing Allied deception operations during World War II.
-
E.
Samuel Chappell
Samuel Chappell was a British music publisher best known as the founder of the influential London-based firm Chappell & Co.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb87ef7c8190a46f317e5475d40e |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfe396bb48190ade10c757a3a7e5e |
completed | May 8, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfeb5d08081908ff0fdbc489fc985 |
completed | May 8, 2026, 3:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.