Triple
T13687851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalina |
E328177
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Cate |
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: Cate | Statement: [Catalina, hasShortForm, Cate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cate Context triple: [Catalina, hasShortForm, Cate]
-
A.
Cate
chosen
Cate is a given name, often used as a short form of Catherine or Katherine.
-
B.
Catie
Catie is a diminutive given name, typically used as a familiar or affectionate form of the name Catriona.
-
C.
Caitlin
Caitlin is the young daughter of amnesiac schoolteacher-turned-assassin Samantha Caine in the action film "The Long Kiss Goodnight."
-
D.
Caitlin
Caitlin is a feminine given name, often considered a variant of Catherine, commonly used in English-speaking countries.
-
E.
Cate Connor
Cate Connor is a central figure in "The Darkest Minds," known for her pivotal role in guiding and influencing the story’s young protagonists within its dystopian world.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944981ec8190be5ff39b7c2c70ab |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.