Triple
T5271421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zachary Quinto |
E119265
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Adam Kaufman
Adam Kaufman is a fictional character portrayed by actor Zachary Quinto, best known from his work in television and film.
|
E508792
|
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: Adam Kaufman | Statement: [Zachary Quinto, characterPortrayed, Adam Kaufman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Kaufman Context triple: [Zachary Quinto, characterPortrayed, Adam Kaufman]
-
A.
Kim Billick
Kim Billick is best known as the wife of former NFL head coach and Super Bowl champion Brian Billick.
-
B.
Andy Kauffman
Andy Kauffman was an American mountaineer renowned for his pioneering high-altitude climbs in the Karakoram range.
-
C.
David Koechner
David Koechner is an American character actor and comedian best known for his scene-stealing roles in films like Anchorman and the TV series The Office.
-
D.
Kent Smith
Kent Smith was an American film and television actor known for his roles in classic Hollywood thrillers and dramas, including notable appearances in 1940s suspense films.
-
E.
Dan Quagmire
Dan Quagmire is a minor character in the animated television series "Family Guy," known primarily as the father of Glenn Quagmire.
- 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: Adam Kaufman Triple: [Zachary Quinto, characterPortrayed, Adam Kaufman]
Generated description
Adam Kaufman is a fictional character portrayed by actor Zachary Quinto, best known from his work in television and film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adam Kaufman Target entity description: Adam Kaufman is a fictional character portrayed by actor Zachary Quinto, best known from his work in television and film.
-
A.
Kim Billick
Kim Billick is best known as the wife of former NFL head coach and Super Bowl champion Brian Billick.
-
B.
Andy Kauffman
Andy Kauffman was an American mountaineer renowned for his pioneering high-altitude climbs in the Karakoram range.
-
C.
David Koechner
David Koechner is an American character actor and comedian best known for his scene-stealing roles in films like Anchorman and the TV series The Office.
-
D.
Kent Smith
Kent Smith was an American film and television actor known for his roles in classic Hollywood thrillers and dramas, including notable appearances in 1940s suspense films.
-
E.
Dan Quagmire
Dan Quagmire is a minor character in the animated television series "Family Guy," known primarily as the father of Glenn Quagmire.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7c1fa01081909d589686289b624b |
completed | March 20, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06cb5f788190b9ee79ca15da9d58 |
completed | March 21, 2026, 8:59 p.m. |
| NEDg | Description generation | batch_69bf08e009788190ae74e25f35ccf100 |
completed | March 21, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf0979c11c8190bc5c3957d098d8d5 |
completed | March 21, 2026, 9:11 p.m. |
Created at: March 20, 2026, 1:51 p.m.