Triple
T13439159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It's Pat |
E320308
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Jim Emerson
Jim Emerson is an American film critic, writer, and editor known for his work on RogerEbert.com and his insightful essays on cinema.
|
E1042491
|
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: Jim Emerson | Statement: [It's Pat, writer, Jim Emerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Emerson Context triple: [It's Pat, writer, Jim Emerson]
-
A.
Ron Eldard
Ron Eldard is an American actor known for his work in film, television, and theater, including roles in projects like "Sleepers," "ER," and "Black Hawk Down."
-
B.
Jeff Nelson
Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
-
C.
Eric Marienthal
Eric Marienthal is an American contemporary jazz saxophonist known for his work in jazz fusion and smooth jazz, including prominent collaborations with leading artists and bands.
-
D.
Jim Harrick
Jim Harrick is an American college basketball coach best known for leading UCLA to the 1995 NCAA championship.
-
E.
Len Elmore
Len Elmore is a former American professional basketball player, college basketball star at the University of Maryland, and longtime television sports analyst and legal analyst.
- 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: Jim Emerson Triple: [It's Pat, writer, Jim Emerson]
Generated description
Jim Emerson is an American film critic, writer, and editor known for his work on RogerEbert.com and his insightful essays on cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Emerson Target entity description: Jim Emerson is an American film critic, writer, and editor known for his work on RogerEbert.com and his insightful essays on cinema.
-
A.
Ron Eldard
Ron Eldard is an American actor known for his work in film, television, and theater, including roles in projects like "Sleepers," "ER," and "Black Hawk Down."
-
B.
Jeff Nelson
Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
-
C.
Eric Marienthal
Eric Marienthal is an American contemporary jazz saxophonist known for his work in jazz fusion and smooth jazz, including prominent collaborations with leading artists and bands.
-
D.
Jim Harrick
Jim Harrick is an American college basketball coach best known for leading UCLA to the 1995 NCAA championship.
-
E.
Len Elmore
Len Elmore is a former American professional basketball player, college basketball star at the University of Maryland, and longtime television sports analyst and legal analyst.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee5ec488190bd0c1e990dbd2bc2 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74621474c8190b96a8f8561451bed |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74729e7f481909da298f70c2bc486 |
completed | May 3, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f747a1d8748190a90d9e3e083c4a85 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.