Triple
T6139281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelson |
E136917
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Sunny Nelson
Sunny Nelson is an individual known primarily by the nickname "Sunny," suggesting a cheerful or bright persona associated with the name Nelson.
|
E570759
|
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: Sunny Nelson | Statement: [Nelson, hasNickname, Sunny Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunny Nelson Context triple: [Nelson, hasNickname, Sunny Nelson]
-
A.
Jack Nelson
Jack Nelson was an early 20th-century American actor known for his roles in silent films.
-
B.
Kay Nelson
Kay Nelson was a Hollywood costume designer known for her work on classic films of the 1940s.
-
C.
Bridger Nielson
Bridger Nielson is a cinematographer known for his work on the horror film "The Pact."
-
D.
Breckin Meyer
Breckin Meyer is an American actor, comedian, and writer known for his roles in films like "Clueless" and "Road Trip" and for voicing characters in the animated series "Robot Chicken."
-
E.
Blake Neely
Blake Neely is an American composer best known for his television and film scores, including work on series like "Arrow," "The Flash," and "Riverdale."
- 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: Sunny Nelson Triple: [Nelson, hasNickname, Sunny Nelson]
Generated description
Sunny Nelson is an individual known primarily by the nickname "Sunny," suggesting a cheerful or bright persona associated with the name Nelson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sunny Nelson Target entity description: Sunny Nelson is an individual known primarily by the nickname "Sunny," suggesting a cheerful or bright persona associated with the name Nelson.
-
A.
Jack Nelson
Jack Nelson was an early 20th-century American actor known for his roles in silent films.
-
B.
Kay Nelson
Kay Nelson was a Hollywood costume designer known for her work on classic films of the 1940s.
-
C.
Bridger Nielson
Bridger Nielson is a cinematographer known for his work on the horror film "The Pact."
-
D.
Breckin Meyer
Breckin Meyer is an American actor, comedian, and writer known for his roles in films like "Clueless" and "Road Trip" and for voicing characters in the animated series "Robot Chicken."
-
E.
Blake Neely
Blake Neely is an American composer best known for his television and film scores, including work on series like "Arrow," "The Flash," and "Riverdale."
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c855a2481909801de9fd55686a4 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135ecd62c8190911b98133bf71dfc |
completed | March 23, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69c13679dd58819099036d1119fa370b |
completed | March 23, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1376db6a0819087c0d0aebc2e2b3e |
completed | March 23, 2026, 12:51 p.m. |
Created at: March 22, 2026, 4:15 p.m.