Triple
T20019860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cami |
E494827
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
Cammie
Cammie is a feminine given name, often used as a diminutive or variant of names like Camille or Camilla.
|
E1407249
|
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: Cammie | Statement: [Cami, hasSpellingVariant, Cammie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cammie Context triple: [Cami, hasSpellingVariant, Cammie]
-
A.
Cammie King
Cammie King was an American child actress best known for playing Bonnie Blue Butler in "Gone with the Wind" and voicing the fawn Faline in Disney's "Bambi."
-
B.
Camille Tucker
Camille Tucker is a screenwriter known for her work on the biographical film "The Clark Sisters: First Ladies of Gospel."
-
C.
Libby Cameron
Libby Cameron is an American interior designer known for her work on high-end residential projects and her association with the legacy of designer Sister Parish.
-
D.
Daisy Coulam
Daisy Coulam is a British television writer and producer known for creating and writing crime and drama series for UK television.
-
E.
Clemie
Clemie is a given name, typically used as a diminutive or variant of the name Clem.
- 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: Cammie Triple: [Cami, hasSpellingVariant, Cammie]
Generated description
Cammie is a feminine given name, often used as a diminutive or variant of names like Camille or Camilla.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cammie Target entity description: Cammie is a feminine given name, often used as a diminutive or variant of names like Camille or Camilla.
-
A.
Cammie King
Cammie King was an American child actress best known for playing Bonnie Blue Butler in "Gone with the Wind" and voicing the fawn Faline in Disney's "Bambi."
-
B.
Camille Tucker
Camille Tucker is a screenwriter known for her work on the biographical film "The Clark Sisters: First Ladies of Gospel."
-
C.
Libby Cameron
Libby Cameron is an American interior designer known for her work on high-end residential projects and her association with the legacy of designer Sister Parish.
-
D.
Daisy Coulam
Daisy Coulam is a British television writer and producer known for creating and writing crime and drama series for UK television.
-
E.
Clemie
Clemie is a given name, typically used as a diminutive or variant of the name Clem.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623f1598819097ad4fa392540901 |
completed | April 20, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e286230819097e564d028e73ab5 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080ef87f08819091b4a76009b1c4ba |
completed | May 16, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f8bb81c819098d39ad6e1642aa8 |
completed | May 16, 2026, 6:32 a.m. |
Created at: April 11, 2026, 3:34 p.m.