Triple
T3128679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | i,i |
E65357
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Trever Hagen
Trever Hagen is a music producer known for his work in contemporary recording and sound production.
|
E341845
|
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: Trever Hagen | Statement: [i,i, producer, Trever Hagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trever Hagen Context triple: [i,i, producer, Trever Hagen]
-
A.
Brett Veach
Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
-
B.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
-
C.
Pete Hornberger
Pete Hornberger is a long-suffering, balding producer on the satirical TV show-within-a-show in the comedy series "30 Rock," known for his deadpan humor and midlife malaise.
-
D.
Dale Hunter
Dale Hunter is a former Canadian NHL center known for his gritty, physical play and leadership, most notably with the Washington Capitals.
-
E.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
- 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: Trever Hagen Triple: [i,i, producer, Trever Hagen]
Generated description
Trever Hagen is a music producer known for his work in contemporary recording and sound production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trever Hagen Target entity description: Trever Hagen is a music producer known for his work in contemporary recording and sound production.
-
A.
Brett Veach
Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
-
B.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
-
C.
Pete Hornberger
Pete Hornberger is a long-suffering, balding producer on the satirical TV show-within-a-show in the comedy series "30 Rock," known for his deadpan humor and midlife malaise.
-
D.
Dale Hunter
Dale Hunter is a former Canadian NHL center known for his gritty, physical play and leadership, most notably with the Washington Capitals.
-
E.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada548123c8190bcfe780c65941585 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28e058d8c8190ae58d750ae4c2c0e |
completed | March 12, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_69b28fbaa3048190b42991ede51c6ca8 |
completed | March 12, 2026, 10:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ab2315ec8190b27da4e41696a7e3 |
completed | March 12, 2026, 12:01 p.m. |
Created at: March 8, 2026, 3:04 p.m.