Triple
T8592978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristian |
E203472
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Cristian |
E282593
|
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: Cristian | Statement: [Kristian, hasVariant, Cristian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cristian Context triple: [Kristian, hasVariant, Cristian]
-
A.
Cristian
chosen
Cristian is a masculine given name commonly used in various European and Latin American countries, often associated with Christian religious roots.
-
B.
Crist
Crist is a surname most prominently associated with American politician Charlie Crist, a former governor of Florida.
-
C.
Danilo
Danilo is a masculine given name used in various Slavic and Romance languages, generally equivalent to Daniel and meaning "God is my judge."
-
D.
Sebastian Clement
Sebastian Clement is a fictional character from Willa Cather’s novel "Lucy Gayheart," serving as a central figure in the protagonist’s emotional and artistic life.
-
E.
Damián
Damián is a given name of Spanish origin, commonly used as a variant of the name Damian.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4668b49481908838579e9876c1ec |
completed | March 31, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8becbd88190837478e302d5e5b4 |
completed | April 2, 2026, 5:34 p.m. |
Created at: March 30, 2026, 6:23 p.m.