Triple
T7954126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Derby |
E184687
|
entity |
| Predicate | officeHoldersInclude |
P537
|
FINISHED |
| Object |
Peter Dawes
Peter Dawes is an Anglican clergyman who served as the Bishop of Derby in the Church of England.
|
E702298
|
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: Peter Dawes | Statement: [Bishop of Derby, officeHoldersInclude, Peter Dawes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Dawes Context triple: [Bishop of Derby, officeHoldersInclude, Peter Dawes]
-
A.
David Webb
David Webb is the true identity of Jason Bourne, the amnesiac assassin protagonist of Robert Ludlum’s Bourne series.
-
B.
Kenneth Lane
Kenneth Lane is an American jewelry designer renowned for his bold, glamorous costume jewelry favored by celebrities and socialites.
-
C.
Andrew Dawson
Andrew Dawson is a music producer and audio engineer known for his work on major hip-hop and pop records, including projects with artists like Kanye West.
-
D.
Hunter Liggett
Hunter Liggett was a senior U.S. Army general best known for commanding American forces in major World War I operations and later serving as a key leader in the postwar Army.
-
E.
Brian Goldner
Brian Goldner was an American business executive and longtime Hasbro CEO known for expanding the company’s brands into major film and television franchises.
- 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: Peter Dawes Triple: [Bishop of Derby, officeHoldersInclude, Peter Dawes]
Generated description
Peter Dawes is an Anglican clergyman who served as the Bishop of Derby in the Church of England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Dawes Target entity description: Peter Dawes is an Anglican clergyman who served as the Bishop of Derby in the Church of England.
-
A.
David Webb
David Webb is the true identity of Jason Bourne, the amnesiac assassin protagonist of Robert Ludlum’s Bourne series.
-
B.
Kenneth Lane
Kenneth Lane is an American jewelry designer renowned for his bold, glamorous costume jewelry favored by celebrities and socialites.
-
C.
Andrew Dawson
Andrew Dawson is a music producer and audio engineer known for his work on major hip-hop and pop records, including projects with artists like Kanye West.
-
D.
Hunter Liggett
Hunter Liggett was a senior U.S. Army general best known for commanding American forces in major World War I operations and later serving as a key leader in the postwar Army.
-
E.
Brian Goldner
Brian Goldner was an American business executive and longtime Hasbro CEO known for expanding the company’s brands into major film and television franchises.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5f74308190aa63a22c3d5feacc |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe05d89a08190ae5bd4092d007442 |
completed | March 31, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69cbe43a45b48190b2bdc793f2bd3264 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc11c673d88190b2796fb6efac6b09 |
completed | March 31, 2026, 6:26 p.m. |
Created at: March 30, 2026, 5:11 p.m.