Triple
T13626607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berry |
E325598
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Troy Berry
Troy Berry is an American politician who has served as a Democratic member of the Arkansas House of Representatives.
|
E1063914
|
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: Troy Berry | Statement: [Berry, hasNotableBearer, Troy Berry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troy Berry Context triple: [Berry, hasNotableBearer, Troy Berry]
-
A.
Troy Dannen
Troy Dannen is a collegiate sports executive who serves as the athletic director for the University of Washington Huskies, overseeing the school's athletic programs and operations.
-
B.
Troy Barlow
Troy Barlow is a U.S. Army reservist and one of the central soldiers in the 1999 war film "Three Kings," portrayed by Mark Wahlberg.
-
C.
Troy Verges
Troy Verges is an American songwriter and record producer known for his work in contemporary country and pop music.
-
D.
Troy Stradford
Troy Stradford is a former NFL running back best known for his standout rookie season with the Miami Dolphins in the late 1980s.
-
E.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
- 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: Troy Berry Triple: [Berry, hasNotableBearer, Troy Berry]
Generated description
Troy Berry is an American politician who has served as a Democratic member of the Arkansas House of Representatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Troy Berry Target entity description: Troy Berry is an American politician who has served as a Democratic member of the Arkansas House of Representatives.
-
A.
Troy Dannen
Troy Dannen is a collegiate sports executive who serves as the athletic director for the University of Washington Huskies, overseeing the school's athletic programs and operations.
-
B.
Troy Barlow
Troy Barlow is a U.S. Army reservist and one of the central soldiers in the 1999 war film "Three Kings," portrayed by Mark Wahlberg.
-
C.
Troy Verges
Troy Verges is an American songwriter and record producer known for his work in contemporary country and pop music.
-
D.
Troy Stradford
Troy Stradford is a former NFL running back best known for his standout rookie season with the Miami Dolphins in the late 1980s.
-
E.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9c72c88190be3d7a3f2e96afbc |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8c8e7988190bcd338bdeba0ae60 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9d773f881908660e8a0645d318d |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7bbf713ac81908d9447100901c41f |
completed | May 3, 2026, 9:19 p.m. |
Created at: April 9, 2026, 9:51 p.m.