Triple
T7427077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cahill |
E171394
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Brendan Cahill
Brendan Cahill is an American Roman Catholic prelate who serves as the bishop of the Diocese of Victoria in Texas.
|
E688985
|
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: Brendan Cahill | Statement: [Cahill, hasNotableBearer, Brendan Cahill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brendan Cahill Context triple: [Cahill, hasNotableBearer, Brendan Cahill]
-
A.
Brendan Donohue
Brendan Donohue is a sports executive best known for serving as the inaugural commissioner of the NBA 2K League, the NBA’s professional esports league.
-
B.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
C.
Sean Cahill
Sean Cahill is a relative of former Australian professional soccer player Tim Cahill.
-
D.
Brendan McLoughlin
Brendan McLoughlin is a former New York City police officer who gained public attention through his marriage to country music star Miranda Lambert.
-
E.
Brendan Vesci
Brendan Vesci is an urban agriculture entrepreneur best known as a co-founder of Brooklyn Grange, one of the world’s largest and most influential rooftop farming operations in New York City.
- 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: Brendan Cahill Triple: [Cahill, hasNotableBearer, Brendan Cahill]
Generated description
Brendan Cahill is an American Roman Catholic prelate who serves as the bishop of the Diocese of Victoria in Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brendan Cahill Target entity description: Brendan Cahill is an American Roman Catholic prelate who serves as the bishop of the Diocese of Victoria in Texas.
-
A.
Brendan Donohue
Brendan Donohue is a sports executive best known for serving as the inaugural commissioner of the NBA 2K League, the NBA’s professional esports league.
-
B.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
C.
Sean Cahill
Sean Cahill is a relative of former Australian professional soccer player Tim Cahill.
-
D.
Brendan McLoughlin
Brendan McLoughlin is a former New York City police officer who gained public attention through his marriage to country music star Miranda Lambert.
-
E.
Brendan Vesci
Brendan Vesci is an urban agriculture entrepreneur best known as a co-founder of Brooklyn Grange, one of the world’s largest and most influential rooftop farming operations in New York City.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3055b7881908269ab909c5a85b5 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8eef3b7a88190bb42b5f93ce2daba |
completed | March 29, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c8ef8e68b88190b30389f7f7482ecd |
completed | March 29, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8efc9cdf081908a777a04453a50bc |
completed | March 29, 2026, 9:24 a.m. |
Created at: March 27, 2026, 3:12 p.m.