Triple
T20405189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camilla |
E500448
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Cami |
—
|
NE NERFINISHED |
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: Cami | Statement: [Camilla, hasDiminutive, Cami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cami Context triple: [Camilla, hasDiminutive, Cami]
-
A.
Cami
chosen
Cami is a diminutive or nickname commonly used for the given name Camille.
-
B.
Cammi
Cammi is the nickname of Cameron Michael Granato, likely used as a casual or affectionate short form of his given names.
-
C.
Sheina
Sheina was the wife of Rabbi Dovber Schneuri, the second Chabad-Lubavitch Rebbe and a prominent Hasidic leader.
-
D.
Carmyne
Carmyne is a given name, typically a variant spelling of Carmine, used for both males and females.
-
E.
Marni
Marni is a feminine given name, often used in English-speaking countries and associated with several notable artists and performers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799161c48190825eca3027d1aa51 |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.