Triple
T14513910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariadna Welter |
E340467
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ariadna Welter |
E340467
|
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: Ariadna Welter | Statement: [Ariadna Welter, name, Ariadna Welter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariadna Welter Context triple: [Ariadna Welter, name, Ariadna Welter]
-
A.
Ariadna Welter
chosen
Ariadna Welter was a Mexican film actress known for her roles in mid-20th-century Mexican cinema.
-
B.
Celeste Aida
"Celeste Aida" is a famous tenor aria from Giuseppe Verdi's opera "Aida," in which the warrior Radamès expresses his love and idealized vision of the Ethiopian princess Aida.
-
C.
Lara Vega
Lara Vega is a determined and resourceful Washington, D.C. homicide detective in the science-fiction crime drama series "Minority Report."
-
D.
Penelope Alvarez
Penelope Alvarez is the Cuban-American single mother and military veteran at the heart of the 2017 reboot of "One Day at a Time," navigating family life, mental health, and cultural identity with humor and resilience.
-
E.
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.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6d82988190b6f957012bcc63d4 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da64db881909a4f88d18031cb0c |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.