Triple
T3786365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fringe |
E85539
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Chad Seiter
Chad Seiter is an American composer and orchestrator known for his work on television series, films, and video game soundtracks.
|
E416971
|
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: Chad Seiter | Statement: [Fringe, composer, Chad Seiter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chad Seiter Context triple: [Fringe, composer, Chad Seiter]
-
A.
Glenn Shadix
Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
-
B.
Tom Seidel
Tom Seidel was the husband of American actress Jean Hagen, known for her role in the classic film "Singin' in the Rain."
-
C.
Ken Hutchison
Ken Hutchison was a Scottish actor known for his intense character roles in film and television during the 1970s and 1980s.
-
D.
Chris Weinke
Chris Weinke is a former American football quarterback best known for leading Florida State University to a national championship and winning the Heisman Trophy before playing in the NFL.
-
E.
Ed Vargo
Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
- 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: Chad Seiter Triple: [Fringe, composer, Chad Seiter]
Generated description
Chad Seiter is an American composer and orchestrator known for his work on television series, films, and video game soundtracks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chad Seiter Target entity description: Chad Seiter is an American composer and orchestrator known for his work on television series, films, and video game soundtracks.
-
A.
Glenn Shadix
Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
-
B.
Tom Seidel
Tom Seidel was the husband of American actress Jean Hagen, known for her role in the classic film "Singin' in the Rain."
-
C.
Ken Hutchison
Ken Hutchison was a Scottish actor known for his intense character roles in film and television during the 1970s and 1980s.
-
D.
Chris Weinke
Chris Weinke is a former American football quarterback best known for leading Florida State University to a national championship and winning the Heisman Trophy before playing in the NFL.
-
E.
Ed Vargo
Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee42d2bc88190ab85529fcd1aa20a |
completed | March 9, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f0c294881908a69addadb7b2d98 |
completed | March 14, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_69b5800a12e48190b184373464930b1e |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b580af3eb88190a89d5827e32293c1 |
completed | March 14, 2026, 3:37 p.m. |
Created at: March 9, 2026, 3:13 p.m.