Triple
T12219850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cate |
E291184
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Catie |
E291184
|
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: Catie | Statement: [Cate, hasVariant, Catie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catie Context triple: [Cate, hasVariant, Catie]
-
A.
Catie
Catie is a diminutive given name, typically used as a familiar or affectionate form of the name Catriona.
-
B.
Cate
chosen
Cate is a given name, often used as a short form of Catherine or Katherine.
-
C.
Cait
Cait was an early medieval Pictish kingdom in northern Scotland, likely centered in what is now Caithness and Sutherland.
-
D.
Caitlin
Caitlin is the young daughter of amnesiac schoolteacher-turned-assassin Samantha Caine in the action film "The Long Kiss Goodnight."
-
E.
Cotty
Cotty is one of the four college girls in the crime drama film "Spring Breakers," known for her involvement in the group’s hedonistic and increasingly dangerous spring break escapades.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c951f5881908db6edfda1153d6f |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa4f4388190a787dde12190c51a |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.