Triple
T9480023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrad |
E228611
|
entity |
| Predicate | hasDiminutive |
P456
|
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: [Conrad, hasDiminutive, Conny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conny Context triple: [Conrad, hasDiminutive, Conny]
-
A.
Conny
chosen
Conny is a common diminutive or nickname for the given name Cornelia.
-
B.
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.
-
C.
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.
-
D.
Conie
Conie is a river in France that serves as a right-bank tributary of the Loir.
-
E.
Conny Weinert
Conny Weinert is an individual notable for bearing the surname Weinert, though specific widely recognized public achievements or roles are not well documented.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8016813881908dafc026779c89c4 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cf7526c8190b96693bdc13743d5 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:54 p.m.