Triple
T3407837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivana Baquero |
E71817
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ivana |
E258038
|
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: Ivana | Statement: [Ivana Baquero, givenName, Ivana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivana Context triple: [Ivana Baquero, givenName, Ivana]
-
A.
Ivana
chosen
Ivana is a feminine given name, common in Slavic countries, that is a variant of the name Joanna/John.
-
B.
Ivana Marie Zelníčková
Ivana Marie Zelníčková, better known as Ivana Trump, was a Czech-American businesswoman, former model, and the first wife of Donald Trump, noted for her role in his early real estate empire and her own fashion and lifestyle ventures.
-
C.
Marija
Marija is a feminine given name commonly used in Slavic and other European cultures, equivalent to "Maria" or "Mary."
-
D.
Ivana Trump
Ivana Trump was a Czech-American businesswoman, former model, and socialite best known as the first wife of Donald Trump and a prominent figure in New York high society in the 1980s and 1990s.
-
E.
Ivana Baquero
Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8ede9c48190b13b0f5e7474e7fa |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bdaf06c8190a8102a4e3c728066 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.