Triple
T22409646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tish Cyrus |
E553963
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Leticia |
—
|
NE NERFINISHED |
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: Leticia | Statement: [Tish Cyrus, givenName, Leticia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leticia Context triple: [Tish Cyrus, givenName, Leticia]
-
A.
Leticia
chosen
Leticia is a remote Colombian city on the Amazon River, known as a key gateway to the Amazon rainforest and a tri-border point with Brazil and Peru.
-
B.
Leticia Brédice
Leticia Brédice is an Argentine actress known for her intense, often edgy performances in film, television, and theater.
-
C.
Corica
Corica is a surname most notably associated with Australian former soccer player and coach Steve Corica.
-
D.
Laiza
Laiza is a town in northern Myanmar near the Chinese border that serves as the main stronghold and de facto capital of the Kachin Independence Organization.
-
E.
Luisana
Luisana is an Argentine actress, model, and former child star best known for her roles in popular telenovelas and for her marriage to singer Michael Bublé.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158bb9ef88190a773d82ac9ed7a55 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.