Triple
T8436537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Stafford |
E199237
|
entity |
| Predicate | officeHoldersInclude |
P537
|
FINISHED |
| Object |
Geoff Annas
Geoff Annas is an Anglican clergyman who served as the Bishop of Stafford in the Church of England.
|
E733775
|
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: Geoff Annas | Statement: [Bishop of Stafford, officeHoldersInclude, Geoff Annas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoff Annas Context triple: [Bishop of Stafford, officeHoldersInclude, Geoff Annas]
-
A.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
B.
Jeffrey Paley
Jeffrey Paley is the son of longtime CBS chairman William S. Paley and a member of the prominent Paley media family.
-
C.
Geoffrey Reeve
Geoffrey Reeve was a British film producer and director known for his work on period dramas and literary adaptations.
-
D.
Geoffrey Sherwood
Geoffrey Sherwood is a central male character in the 1935 romantic drama film "The Girl from 10th Avenue," whose troubled personal life and evolving relationship with the heroine drive much of the story’s emotional conflict.
-
E.
Geoff Travis
Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
- 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: Geoff Annas Triple: [Bishop of Stafford, officeHoldersInclude, Geoff Annas]
Generated description
Geoff Annas is an Anglican clergyman who served as the Bishop of Stafford in the Church of England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geoff Annas Target entity description: Geoff Annas is an Anglican clergyman who served as the Bishop of Stafford in the Church of England.
-
A.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
B.
Jeffrey Paley
Jeffrey Paley is the son of longtime CBS chairman William S. Paley and a member of the prominent Paley media family.
-
C.
Geoffrey Reeve
Geoffrey Reeve was a British film producer and director known for his work on period dramas and literary adaptations.
-
D.
Geoffrey Sherwood
Geoffrey Sherwood is a central male character in the 1935 romantic drama film "The Girl from 10th Avenue," whose troubled personal life and evolving relationship with the heroine drive much of the story’s emotional conflict.
-
E.
Geoff Travis
Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe132a6f881908f990089792fccc4 |
completed | March 31, 2026, 2:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d7d19608190ad3160fc00f8d4b0 |
completed | April 2, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ce1ea3aaf881909562b65cefb20089 |
completed | April 2, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1f8d748c81909b331ed822919447 |
completed | April 2, 2026, 7:49 a.m. |
Created at: March 30, 2026, 6:08 p.m.