Triple
T13744434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop |
E330175
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Alison Bishop
Alison Bishop is a computer scientist and cryptographer known for her work in security and privacy as well as for her involvement in stand-up comedy.
|
E1096945
|
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: Alison Bishop | Statement: [Bishop, hasNotableBearer, Alison Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alison Bishop Context triple: [Bishop, hasNotableBearer, Alison Bishop]
-
A.
Alison Benson
Alison Benson is a television producer and executive known for her work overseeing series such as the comedy show "Camping."
-
B.
Alison Wright
Alison Wright is a British actress known for her acclaimed television roles, including standout performances in series such as "The Americans" and "Sneaky Pete."
-
C.
Alison Brown
Alison Brown is a film industry professional best known for her role in founding the American animation company Blue Sky Studios.
-
D.
Alison Anderson
Alison Anderson is an Australian politician and Indigenous leader from the Northern Territory known for her advocacy on Aboriginal rights and community development.
-
E.
Alison Woods
Alison Woods is an American actress best known for her role in the horror-comedy film "Detention."
- 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: Alison Bishop Triple: [Bishop, hasNotableBearer, Alison Bishop]
Generated description
Alison Bishop is a computer scientist and cryptographer known for her work in security and privacy as well as for her involvement in stand-up comedy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alison Bishop Target entity description: Alison Bishop is a computer scientist and cryptographer known for her work in security and privacy as well as for her involvement in stand-up comedy.
-
A.
Alison Benson
Alison Benson is a television producer and executive known for her work overseeing series such as the comedy show "Camping."
-
B.
Alison Wright
Alison Wright is a British actress known for her acclaimed television roles, including standout performances in series such as "The Americans" and "Sneaky Pete."
-
C.
Alison Brown
Alison Brown is a film industry professional best known for her role in founding the American animation company Blue Sky Studios.
-
D.
Alison Anderson
Alison Anderson is an Australian politician and Indigenous leader from the Northern Territory known for her advocacy on Aboriginal rights and community development.
-
E.
Alison Woods
Alison Woods is an American actress best known for her role in the horror-comedy film "Detention."
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de020855ec8190a60fa1cb761f2e68 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54f748d481909661deb151da34c1 |
completed | May 8, 2026, 3:13 a.m. |
| NEDg | Description generation | batch_69fd56aaf0dc8190b0eaf84822eb15f0 |
completed | May 8, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5731c9188190bda2958bef87dfe2 |
completed | May 8, 2026, 3:23 a.m. |
Created at: April 9, 2026, 10:08 p.m.