Triple
T1222627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stevens |
E26256
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Trent Stevens
Trent Stevens is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Stevens.
|
E213648
|
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: Trent Stevens | Statement: [Stevens, hasNotableBearer, Trent Stevens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trent Stevens Context triple: [Stevens, hasNotableBearer, Trent Stevens]
-
A.
Travis Banton
Travis Banton was a prominent American Hollywood costume designer best known for his glamorous, influential work at Paramount Pictures during the 1920s and 1930s.
-
B.
Trent Luckinbill
Trent Luckinbill is an American film producer known for working on acclaimed movies such as the crime thriller "Sicario."
-
C.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
D.
Jake Stahl
Jake Stahl was an early 20th-century American first baseman and manager best known for leading the Boston Red Sox to the 1912 World Series championship.
-
E.
Brent Thomas
Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
- 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: Trent Stevens Triple: [Stevens, hasNotableBearer, Trent Stevens]
Generated description
Trent Stevens is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Stevens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trent Stevens Target entity description: Trent Stevens is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Stevens.
-
A.
Travis Banton
Travis Banton was a prominent American Hollywood costume designer best known for his glamorous, influential work at Paramount Pictures during the 1920s and 1930s.
-
B.
Trent Luckinbill
Trent Luckinbill is an American film producer known for working on acclaimed movies such as the crime thriller "Sicario."
-
C.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
D.
Jake Stahl
Jake Stahl was an early 20th-century American first baseman and manager best known for leading the Boston Red Sox to the 1912 World Series championship.
-
E.
Brent Thomas
Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be21a2bc819094b47580d7c5cdf8 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeab57c8c81908b1dbdaf7ba4b29b |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeccddc788190be7ddb822f1b5d67 |
completed | March 8, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aded53100081909239afdc676e45ab |
completed | March 8, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:47 p.m.