Triple
T19065375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affion Crockett |
E466642
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Affion
Affion is an American actor, comedian, writer, and producer best known for his sketch comedy work and film and television appearances.
|
E1356929
|
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: Affion | Statement: [Affion Crockett, givenName, Affion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affion Context triple: [Affion Crockett, givenName, Affion]
-
A.
Alaskey
Alaskey is the surname of Joe Alaskey, an American voice actor best known for portraying iconic Looney Tunes characters such as Bugs Bunny and Daffy Duck.
-
B.
Stevonne
Stevonne is the given first name of former NFL wide receiver and sports analyst Steve Smith Sr.
-
C.
Stevonnie
Stevonnie is a powerful, non-binary fusion character from the animated series "Steven Universe," formed by the merging of Steven Universe and his friend Connie Maheswaran.
-
D.
Vonetta
Vonetta is a feminine given name most notably borne by American bobsledder and Olympic gold medalist Vonetta Flowers.
-
E.
Ta’aisha
The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
- 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: Affion Triple: [Affion Crockett, givenName, Affion]
Generated description
Affion is an American actor, comedian, writer, and producer best known for his sketch comedy work and film and television appearances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Affion Target entity description: Affion is an American actor, comedian, writer, and producer best known for his sketch comedy work and film and television appearances.
-
A.
Alaskey
Alaskey is the surname of Joe Alaskey, an American voice actor best known for portraying iconic Looney Tunes characters such as Bugs Bunny and Daffy Duck.
-
B.
Stevonne
Stevonne is the given first name of former NFL wide receiver and sports analyst Steve Smith Sr.
-
C.
Stevonnie
Stevonnie is a powerful, non-binary fusion character from the animated series "Steven Universe," formed by the merging of Steven Universe and his friend Connie Maheswaran.
-
D.
Vonetta
Vonetta is a feminine given name most notably borne by American bobsledder and Olympic gold medalist Vonetta Flowers.
-
E.
Ta’aisha
The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19799d8819099d0b848771ae425 |
completed | April 20, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05d3586fc88190b7e48c4afb767a2a |
completed | May 14, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a05d430aabc8190bdf30a16700e2476 |
completed | May 14, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d4e41f108190a2d7a3a60d1e3b87 |
completed | May 14, 2026, 1:57 p.m. |
Created at: April 10, 2026, 12:03 p.m.