Triple
T14990694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vega |
E373825
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Alexa 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 Vega | Statement: [Vega, hasNotableBearer, Alexa Vega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexa Vega Context triple: [Vega, hasNotableBearer, Alexa 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.
Ramona Vega
Ramona Vega is a charismatic, savvy veteran stripper and ringleader in the film "Hustlers," who masterminds a scheme to swindle wealthy Wall Street clients.
-
C.
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."
-
D.
Maya Vidal
Maya Vidal is the troubled teenage protagonist of Isabel Allende’s novel "Maya’s Notebook," whose coming-of-age journey unfolds through her candid, reflective diary entries.
-
E.
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."
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d6ddbc81908b010a54ee728dfe |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 10, 2026, 2:53 a.m.