Triple
T11878606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristian |
E282593
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Crisy |
E240740
|
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: Crisy | Statement: [Cristian, hasDiminutive, Crisy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crisy Context triple: [Cristian, hasDiminutive, Crisy]
-
A.
Cris
Cris is the first name of Cris Collinsworth, a former NFL wide receiver and prominent American football television broadcaster.
-
B.
Crys
chosen
Crys is a diminutive given name commonly used as a shortened form of Crystal.
-
C.
Crist
Crist is a surname most prominently associated with American politician Charlie Crist, a former governor of Florida.
-
D.
Crisa
Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
-
E.
Krystal
Krystal is a feminine given name, typically considered a modern variant of the name Crystal.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1cad5c8190a45dfb0f0cc2a512 |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417cb1c3881909ee50e8d11621664 |
completed | May 1, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:44 p.m.