Triple
T2892064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordell |
E63849
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Cordelle
Cordelle is a given name and surname, typically considered a variant of Cordell, used for both males and females.
|
E307534
|
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: Cordelle | Statement: [Cordell, hasVariantSpelling, Cordelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cordelle Context triple: [Cordell, hasVariantSpelling, Cordelle]
-
A.
Vonetta
Vonetta is a feminine given name most notably borne by American bobsledder and Olympic gold medalist Vonetta Flowers.
-
B.
Cori Broadus
Cori Broadus is an American singer and social media personality, best known as the daughter of rapper Snoop Dogg.
-
C.
Shante Broadus
Shante Broadus is an American entrepreneur and talent manager best known as the longtime wife and business partner of rapper Snoop Dogg.
-
D.
Celia Mae
Celia Mae is the one-eyed, snake-haired receptionist at Monsters, Inc. and Mike Wazowski’s girlfriend in the Pixar animated film.
-
E.
Lola Lane
Lola Lane was an American film actress best known as one of the Lane Sisters, who appeared in numerous Hollywood productions during the 1930s and 1940s.
- 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: Cordelle Triple: [Cordell, hasVariantSpelling, Cordelle]
Generated description
Cordelle is a given name and surname, typically considered a variant of Cordell, used for both males and females.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cordelle Target entity description: Cordelle is a given name and surname, typically considered a variant of Cordell, used for both males and females.
-
A.
Vonetta
Vonetta is a feminine given name most notably borne by American bobsledder and Olympic gold medalist Vonetta Flowers.
-
B.
Cori Broadus
Cori Broadus is an American singer and social media personality, best known as the daughter of rapper Snoop Dogg.
-
C.
Shante Broadus
Shante Broadus is an American entrepreneur and talent manager best known as the longtime wife and business partner of rapper Snoop Dogg.
-
D.
Celia Mae
Celia Mae is the one-eyed, snake-haired receptionist at Monsters, Inc. and Mike Wazowski’s girlfriend in the Pixar animated film.
-
E.
Lola Lane
Lola Lane was an American film actress best known as one of the Lane Sisters, who appeared in numerous Hollywood productions during the 1930s and 1940s.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe060f49c8190bc804614a141c738 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0317e15248190bade0f0fd930581a |
completed | March 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69b034b304f8819096eda16e314912b4 |
completed | March 10, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b03c60a5988190b015a1cf05068845 |
completed | March 10, 2026, 3:44 p.m. |
Created at: March 6, 2026, 10:07 p.m.