Triple
T1225836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Precious |
E26324
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Gary Magness
Gary Magness is an American businessman and film producer known for financing and producing independent movies.
|
E177111
|
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: Gary Magness | Statement: [Precious, producer, Gary Magness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Magness Context triple: [Precious, producer, Gary Magness]
-
A.
Chris Dugan
Chris Dugan is an American recording engineer and producer best known for his work with punk rock bands, including Green Day.
-
B.
Jeff Henley
Jeff Henley is an American business executive best known for his long tenure as Oracle Corporation’s chief financial officer and later chairman of the board.
-
C.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
D.
Rob Mullens
Rob Mullens is a college athletics administrator best known for serving as the athletic director at the University of Oregon.
-
E.
Connor Jessup
Connor Jessup is a Canadian actor and filmmaker best known for his roles in the TV series "Falling Skies" and "Locke & Key."
- 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: Gary Magness Triple: [Precious, producer, Gary Magness]
Generated description
Gary Magness is an American businessman and film producer known for financing and producing independent movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gary Magness Target entity description: Gary Magness is an American businessman and film producer known for financing and producing independent movies.
-
A.
Chris Dugan
Chris Dugan is an American recording engineer and producer best known for his work with punk rock bands, including Green Day.
-
B.
Jeff Henley
Jeff Henley is an American business executive best known for his long tenure as Oracle Corporation’s chief financial officer and later chairman of the board.
-
C.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
D.
Rob Mullens
Rob Mullens is a college athletics administrator best known for serving as the athletic director at the University of Oregon.
-
E.
Connor Jessup
Connor Jessup is a Canadian actor and filmmaker best known for his roles in the TV series "Falling Skies" and "Locke & Key."
- 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_69a4be39908481908cca21aaf0828415 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad36f6d9288190ad64dc1bc9e9f8c1 |
completed | March 8, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_69ad376688bc8190b04e04e8cf7efd86 |
completed | March 8, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38e6c1dc8190af0252ac9a3b346a |
completed | March 8, 2026, 8:52 a.m. |
Created at: March 1, 2026, 7:47 p.m.