Triple
T13721469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rina |
E329046
|
entity |
| Predicate | shortFor |
P43
|
FINISHED |
| Object | Catrina |
E734664
|
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: Catrina | Statement: [Rina, shortFor, Catrina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catrina Context triple: [Rina, shortFor, Catrina]
-
A.
Catrina
chosen
Catrina is a feminine given name, commonly used as a variant of names like Catriona or Katrina in various European and English-speaking cultures.
-
B.
Katrina Crane
Katrina Crane is a powerful witch and Ichabod Crane’s wife in the supernatural drama TV series "Sleepy Hollow."
-
C.
Celeste Kane
Celeste Kane is a character from the television series "Veronica Mars," known as the wealthy and often cold mother of Duncan Kane in the fictional town of Neptune, California.
-
D.
Karla
Karla is the elusive Soviet spymaster and primary antagonist of John le Carré’s George Smiley novels, symbolizing the Cold War espionage rivalry between British intelligence and the KGB.
-
E.
Karla
Karla is a villainous mastermind character who serves as the primary antagonist opposing the bumbling spy Johnny English in the comedy film series.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f3b46481909ceedfa78e9ca92b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5e1ecc8190a9fec550a99702c0 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.