Triple
T19521332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napoleon Dynamite |
E488406
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Jeremy Coon
Jeremy Coon is an American film editor and producer best known for his work on the cult comedy film "Napoleon Dynamite."
|
E1384543
|
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: Jeremy Coon | Statement: [Napoleon Dynamite, editedBy, Jeremy Coon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Coon Context triple: [Napoleon Dynamite, editedBy, Jeremy Coon]
-
A.
Jeff Cooney
Jeff Cooney is a television producer best known for his executive production work on the biographical anthology series "Genius."
-
B.
Timothy Cooney
Timothy Cooney is known primarily as the husband of Joan Ganz Cooney, the television producer and co-creator of Sesame Street.
-
C.
Chris Coy
Chris Coy is an American actor known for his roles in film and television, including a part in the horror-thriller "Deliver Us from Evil."
-
D.
Kevin Cozner
Kevin Cozner is a fictional university professor and the husband of Captain Raymond Holt on the television series "Brooklyn Nine-Nine."
-
E.
Jeromy Cox
Jeromy Cox is a professional comic book colorist known for his work with major publishers such as DC and Marvel on high-profile titles and events.
- 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: Jeremy Coon Triple: [Napoleon Dynamite, editedBy, Jeremy Coon]
Generated description
Jeremy Coon is an American film editor and producer best known for his work on the cult comedy film "Napoleon Dynamite."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeremy Coon Target entity description: Jeremy Coon is an American film editor and producer best known for his work on the cult comedy film "Napoleon Dynamite."
-
A.
Jeff Cooney
Jeff Cooney is a television producer best known for his executive production work on the biographical anthology series "Genius."
-
B.
Timothy Cooney
Timothy Cooney is known primarily as the husband of Joan Ganz Cooney, the television producer and co-creator of Sesame Street.
-
C.
Chris Coy
Chris Coy is an American actor known for his roles in film and television, including a part in the horror-thriller "Deliver Us from Evil."
-
D.
Kevin Cozner
Kevin Cozner is a fictional university professor and the husband of Captain Raymond Holt on the television series "Brooklyn Nine-Nine."
-
E.
Jeromy Cox
Jeromy Cox is a professional comic book colorist known for his work with major publishers such as DC and Marvel on high-profile titles and events.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635a0b37c8190b70b7427c2e85f59 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075eff911c8190ab17bf18a238ca70 |
completed | May 15, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a075fac21e88190b01cac2860891f01 |
completed | May 15, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07604b2fe4819090be363844abf2ec |
completed | May 15, 2026, 6:04 p.m. |
Created at: April 10, 2026, 1:40 p.m.