Triple
T10435517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constance |
E246027
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Conny |
E636981
|
NE FINISHED |
How this triple was built (2 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: Conny | Statement: [Constance, hasVariant, Conny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conny Context triple: [Constance, hasVariant, Conny]
-
A.
Conny
chosen
Conny is a common diminutive or nickname for the given name Cornelia.
-
B.
Conny Miller
Conny Miller is a fictional character from the horror film "The Grave."
-
C.
Conny Spalding
Conny Spalding is a character in the film "Two Can Play That Game," serving as a romantic rival and source of conflict for the protagonist Shanté Smith.
-
D.
Conniff
Conniff is a surname most notably associated with Ray Conniff, an American bandleader and arranger known for his easy listening and orchestral pop music.
-
E.
Conie
Conie is a river in France that serves as a right-bank tributary of the Loir.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea843f1c8190afca4a42bc364468 |
completed | April 7, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ec1a0908190b5369ad55cf2bcb1 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:14 p.m.