Triple
T21489048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Potter |
E530187
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Christopher Potter
Christopher Potter is a jazz saxophonist and composer recognized as one of the leading improvisers of his generation.
|
E1487443
|
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: Christopher Potter | Statement: [Chris Potter, birthName, Christopher Potter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Potter Context triple: [Chris Potter, birthName, Christopher Potter]
-
A.
Mark Potter
Mark Potter is the guitarist for the English alternative rock band Elbow.
-
B.
Daniel Powell
Daniel Powell is a television producer best known for his work on the Emmy-winning sketch comedy series "Inside Amy Schumer."
-
C.
Chris Poole
Chris Poole is a writer best known for his work on the film "In the Mix."
-
D.
Matthew Pottinger
Matthew Pottinger is an American former journalist, U.S. Marine Corps intelligence officer, and national security official known for his influential role in shaping China policy during the Trump administration.
-
E.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
- 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: Christopher Potter Triple: [Chris Potter, birthName, Christopher Potter]
Generated description
Christopher Potter is a jazz saxophonist and composer recognized as one of the leading improvisers of his generation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christopher Potter Target entity description: Christopher Potter is a jazz saxophonist and composer recognized as one of the leading improvisers of his generation.
-
A.
Mark Potter
Mark Potter is the guitarist for the English alternative rock band Elbow.
-
B.
Daniel Powell
Daniel Powell is a television producer best known for his work on the Emmy-winning sketch comedy series "Inside Amy Schumer."
-
C.
Chris Poole
Chris Poole is a writer best known for his work on the film "In the Mix."
-
D.
Matthew Pottinger
Matthew Pottinger is an American former journalist, U.S. Marine Corps intelligence officer, and national security official known for his influential role in shaping China policy during the Trump administration.
-
E.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea39e73081908e8d14118f9d1e03 |
completed | April 23, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e135d8988190aeacd46b575fef07 |
completed | May 17, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a09e1b800188190ba1e667a7c2f1c4e |
completed | May 17, 2026, 3:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e22dcac081909a02bbb3f74f42a9 |
completed | May 17, 2026, 3:43 p.m. |
Created at: April 16, 2026, 6:22 p.m.