Triple
T3623629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexa Vega |
E76784
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Alexa Ellesse Vega |
E76784
|
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: Alexa Ellesse Vega | Statement: [Alexa Vega, birthName, Alexa Ellesse Vega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexa Ellesse Vega Context triple: [Alexa Vega, birthName, Alexa Ellesse Vega]
-
A.
Alexa Vega
chosen
Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
-
B.
Alexa Davalos
Alexa Davalos is an American actress known for her leading role as Juliana Crain in the television adaptation of Philip K. Dick's "The Man in the High Castle," as well as performances in films like "The Chronicles of Riddick" and "Defiance."
-
C.
Alexa Havins
Alexa Havins is an American actress best known for her work in television, including a starring role in the science fiction series "Torchwood."
-
D.
Alexia Barroso
Alexia Barroso is the stepdaughter of actor Matt Damon, known for largely maintaining a private life outside of the public spotlight.
-
E.
Everly Carganilla
Everly Carganilla is a young American child actress known for roles in film and television, including the Netflix series "The Chair."
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bc79008190abe6900adcbda8de |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cddcfeec8190920648ec66b2a53c |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:23 p.m.