Triple
T2938643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicky Cristina Barcelona |
E79329
|
entity |
| Predicate | hasTitleCharacter |
P5716
|
FINISHED |
| Object | Cristina |
E316600
|
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: Cristina | Statement: [Vicky Cristina Barcelona, hasTitleCharacter, Cristina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cristina Context triple: [Vicky Cristina Barcelona, hasTitleCharacter, Cristina]
-
A.
Cristina
chosen
Cristina is one of the two free-spirited American women at the center of Woody Allen’s romantic drama film "Vicky Cristina Barcelona."
-
B.
Maria Cerezo
Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
-
C.
Romina
Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
-
D.
Alejandra
Alejandra is the feminine given name corresponding to Alejandro, commonly used in Spanish-speaking cultures.
-
E.
Maria Paola
Maria Paola is the Italian form of the given name borne by Pauline Bonaparte, Napoleon Bonaparte’s influential and famously beautiful sister.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad986c1c0c8190a6a9f17082438cfd |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e181898819087ed4acfd24c00a1 |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 8, 2026, 2:56 p.m.