Triple
T5792388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Orange |
E128424
|
entity |
| Predicate | currentBishop |
P22833
|
FINISHED |
| Object |
Kevin Vann
Kevin Vann is an American prelate of the Roman Catholic Church who serves as the bishop of the Diocese of Orange in California.
|
E551266
|
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: Kevin Vann | Statement: [Roman Catholic Diocese of Orange, currentBishop, Kevin Vann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Vann Context triple: [Roman Catholic Diocese of Orange, currentBishop, Kevin Vann]
-
A.
Justin E. Driscoll
Justin E. Driscoll is an American energy executive who leads the New York Power Authority, the nation’s largest state-owned electric utility.
-
B.
Jeff Cunningham
Jeff Cunningham is a former professional soccer forward best known as one of Major League Soccer’s most prolific goal scorers.
-
C.
Ron Feemster
Ron Feemster is a music producer known for his work on the album "Afrodisiac."
-
D.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
E.
Mike Mitchell
Mike Mitchell is an American film director known for his work on animated and family films such as "Shrek Forever After," "Trolls," and "The Lego Movie 2: The Second Part."
- 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: Kevin Vann Triple: [Roman Catholic Diocese of Orange, currentBishop, Kevin Vann]
Generated description
Kevin Vann is an American prelate of the Roman Catholic Church who serves as the bishop of the Diocese of Orange in California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Vann Target entity description: Kevin Vann is an American prelate of the Roman Catholic Church who serves as the bishop of the Diocese of Orange in California.
-
A.
Justin E. Driscoll
Justin E. Driscoll is an American energy executive who leads the New York Power Authority, the nation’s largest state-owned electric utility.
-
B.
Jeff Cunningham
Jeff Cunningham is a former professional soccer forward best known as one of Major League Soccer’s most prolific goal scorers.
-
C.
Ron Feemster
Ron Feemster is a music producer known for his work on the album "Afrodisiac."
-
D.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
E.
Mike Mitchell
Mike Mitchell is an American film director known for his work on animated and family films such as "Shrek Forever After," "Trolls," and "The Lego Movie 2: The Second Part."
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5870b88190bbfaac2782635128 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a178ccf481909beddf56b66a588d |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a2463cb08190aa5976ebd62c30d6 |
completed | March 23, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a2afcef88190a77c8089a1b85393 |
completed | March 23, 2026, 2:17 a.m. |
Created at: March 22, 2026, 3:51 p.m.