Triple
T5752881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baghead |
E126892
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Jay Deuby
Jay Deuby is a film editor known for his work on the independent horror-comedy movie "Baghead."
|
E551210
|
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: Jay Deuby | Statement: [Baghead, editedBy, Jay Deuby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Deuby Context triple: [Baghead, editedBy, Jay Deuby]
-
A.
Mark DeBarge
Mark DeBarge is an American R&B singer and musician best known as a member of the family group DeBarge, popular in the 1980s.
-
B.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
C.
Tim DeKay
Tim DeKay is an American actor best known for his television roles in series such as White Collar and Carnivàle.
-
D.
Mike Dean
Mike Dean is an American record producer, audio engineer, and multi-instrumentalist known for his influential work with artists like Kanye West, Travis Scott, and many others in hip-hop and popular music.
-
E.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" 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: Jay Deuby Triple: [Baghead, editedBy, Jay Deuby]
Generated description
Jay Deuby is a film editor known for his work on the independent horror-comedy movie "Baghead."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Deuby Target entity description: Jay Deuby is a film editor known for his work on the independent horror-comedy movie "Baghead."
-
A.
Mark DeBarge
Mark DeBarge is an American R&B singer and musician best known as a member of the family group DeBarge, popular in the 1980s.
-
B.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
C.
Tim DeKay
Tim DeKay is an American actor best known for his television roles in series such as White Collar and Carnivàle.
-
D.
Mike Dean
Mike Dean is an American record producer, audio engineer, and multi-instrumentalist known for his influential work with artists like Kanye West, Travis Scott, and many others in hip-hop and popular music.
-
E.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a167f2508190a8dd507f237e771b |
completed | March 23, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69c0a2463cb08190aa5976ebd62c30d6 |
completed | March 23, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a2afcef88190a77c8089a1b85393 |
completed | March 23, 2026, 2:17 a.m. |
Created at: March 22, 2026, 3:48 p.m.