Triple
T9802828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stana Katic |
E237881
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stana |
E215216
|
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: Stana | Statement: [Stana Katic, givenName, Stana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stana Context triple: [Stana Katic, givenName, Stana]
-
A.
Stefania
chosen
Stefania is a feminine given name of Italian origin, commonly used in Italy and other European countries.
-
B.
Stevonne
Stevonne is the given first name of former NFL wide receiver and sports analyst Steve Smith Sr.
-
C.
Myrna
Myrna is a feminine given name most famously associated with American film actress Myrna Loy.
-
D.
Brana
Brana is a prominent mountain peak in Slovenia’s Kamnik–Savinja Alps, popular with hikers and climbers for its scenic alpine views.
-
E.
Mia Ausa
Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab78832481909b184b21a8a46e50 |
completed | April 1, 2026, 11:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c4538760819099ba1e392d31a135 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:29 p.m.