Triple
T7138813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silky the Fairy |
E166384
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object |
Connie
Connie is a character associated with Silky the Fairy, likely appearing in the same children’s fantasy setting as her friend.
|
E644743
|
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: Connie | Statement: [Silky the Fairy, friendOf, Connie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connie Context triple: [Silky the Fairy, friendOf, Connie]
-
A.
Connie
Connie is a supporting character in the 2019 folk horror film "Midsommar," one of the visiting outsiders who becomes entangled in the sinister rituals of a remote Swedish commune.
-
B.
Connie
Connie is the nickname of Connie Hawkins, a legendary American basketball player known for his high-flying, acrobatic style and Hall of Fame career.
-
C.
Connie Conehead
Connie Conehead is the teenage daughter in the Conehead family from the Saturday Night Live sketches and subsequent film, known for her distinctive conical head and attempts to fit into human society.
-
D.
Conie
Conie is a river in France that serves as a right-bank tributary of the Loir.
-
E.
Colleen
Colleen is a feminine given name of Irish origin, commonly used in English-speaking countries.
- 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: Connie Triple: [Silky the Fairy, friendOf, Connie]
Generated description
Connie is a character associated with Silky the Fairy, likely appearing in the same children’s fantasy setting as her friend.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Connie Target entity description: Connie is a character associated with Silky the Fairy, likely appearing in the same children’s fantasy setting as her friend.
-
A.
Connie
Connie is a supporting character in the 2019 folk horror film "Midsommar," one of the visiting outsiders who becomes entangled in the sinister rituals of a remote Swedish commune.
-
B.
Connie
Connie is the nickname of Connie Hawkins, a legendary American basketball player known for his high-flying, acrobatic style and Hall of Fame career.
-
C.
Connie Conehead
Connie Conehead is the teenage daughter in the Conehead family from the Saturday Night Live sketches and subsequent film, known for her distinctive conical head and attempts to fit into human society.
-
D.
Conie
Conie is a river in France that serves as a right-bank tributary of the Loir.
-
E.
Colleen
Colleen is a feminine given name of Irish origin, commonly used in English-speaking countries.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e694cc3c81908b0d54c2496a0722 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad940bd88190abec876e2d2369bf |
completed | March 28, 2026, 10:29 a.m. |
| NEDg | Description generation | batch_69c7adfb97f481908931434adf06ed8a |
completed | March 28, 2026, 10:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ae599cc8819086eadb1f1c25587a |
completed | March 28, 2026, 10:32 a.m. |
Created at: March 27, 2026, 2:45 p.m.