Triple
T18195618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Gurney |
E435652
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Catherine Bell
Catherine Bell is a British former Olympic rower who competed for Great Britain in the 1990s.
|
E1327254
|
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: Catherine Bell | Statement: [Daniel Gurney, mother, Catherine Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catherine Bell Context triple: [Daniel Gurney, mother, Catherine Bell]
-
A.
Catherine Bell
Catherine Bell is an American actress best known for her role as Lieutenant Colonel Sarah "Mac" MacKenzie on the television series JAG.
-
B.
Samantha Beckinsale
Samantha Beckinsale is a British actress known for her work in television dramas and comedies, and as the half-sister of actress Kate Beckinsale.
-
C.
Kristin Scott Thomas
Kristin Scott Thomas is an acclaimed British actress known for her nuanced performances in films such as "The English Patient," "Four Weddings and a Funeral," and "The Horse Whisperer."
-
D.
Julia Ormond
Julia Ormond is a British actress known for her roles in films such as "Legends of the Fall," "Sabrina," and "The Curious Case of Benjamin Button."
-
E.
Anne Alexander
Anne Alexander is a person known primarily as a relative of John Alexander, though specific public details about her life or work are not widely documented.
- 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: Catherine Bell Triple: [Daniel Gurney, mother, Catherine Bell]
Generated description
Catherine Bell is a British former Olympic rower who competed for Great Britain in the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Catherine Bell Target entity description: Catherine Bell is a British former Olympic rower who competed for Great Britain in the 1990s.
-
A.
Catherine Bell
Catherine Bell is an American actress best known for her role as Lieutenant Colonel Sarah "Mac" MacKenzie on the television series JAG.
-
B.
Samantha Beckinsale
Samantha Beckinsale is a British actress known for her work in television dramas and comedies, and as the half-sister of actress Kate Beckinsale.
-
C.
Kristin Scott Thomas
Kristin Scott Thomas is an acclaimed British actress known for her nuanced performances in films such as "The English Patient," "Four Weddings and a Funeral," and "The Horse Whisperer."
-
D.
Julia Ormond
Julia Ormond is a British actress known for her roles in films such as "Legends of the Fall," "Sabrina," and "The Curious Case of Benjamin Button."
-
E.
Anne Alexander
Anne Alexander is a person known primarily as a relative of John Alexander, though specific public details about her life or work are not widely documented.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d2ad5881909d846f3851ac9ec9 |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04712799948190b326d082cf1b25fb |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0472626b9c8190b23679a60f927772 |
completed | May 13, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0473d333548190a9eada899aacac52 |
completed | May 13, 2026, 12:51 p.m. |
Created at: April 10, 2026, 10:31 a.m.