Triple
T17164648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Arias Dávila |
E416576
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Arias |
E1059593
|
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: Arias | Statement: [Pedro Arias Dávila, familyName, Arias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arias Context triple: [Pedro Arias Dávila, familyName, Arias]
-
A.
Arias
chosen
Arias is a Spanish-language surname commonly found across Spain and Latin America.
-
B.
Arias
Arias was the former name of the UK’s prestigious Radio Academy Awards, which honor excellence in radio and audio broadcasting.
-
C.
Aria
Aria is an adult film in which actress Bridget Fonda made her debut in explicit cinema.
-
D.
Aria
Aria is a popular song by Italian rock singer-songwriter Gianna Nannini.
-
E.
Aria
Aria is a 1987 avant-garde anthology film that reimagines famous opera arias through a series of visually stylized, dialogue-free segments directed by multiple filmmakers.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f913c84481908bb5da8bcc6a2e62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483b827081909619ea691c4c0e1e |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.