Triple
T13846772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adriana Barraza |
E332826
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Adriana |
E415371
|
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: Adriana | Statement: [Adriana Barraza, givenName, Adriana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adriana Context triple: [Adriana Barraza, givenName, Adriana]
-
A.
Adriana
chosen
Adriana is the given first name of Adrian Balboa, the fictional wife of boxer Rocky Balboa in the "Rocky" film series.
-
B.
Fabiola
Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
-
C.
Rosita
Rosita is a shy but talented pig and devoted mother who becomes a standout performer in the animated musical film "Sing."
-
D.
Rosita
Rosita is a bilingual, turquoise monster Muppet on Sesame Street known for introducing Spanish language and Latino culture to the show.
-
E.
Rafaela
Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b2a9788190b164760adec64ef6 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac802b7081909b36eebe85374594 |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 9, 2026, 10:13 p.m.