Triple
T15530848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Ramos |
E370210
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ramos |
E411895
|
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: Ramos | Statement: [Sarah Ramos, familyName, Ramos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramos Context triple: [Sarah Ramos, familyName, Ramos]
-
A.
Ramos
chosen
Ramos is a municipality in the Philippine province of Tarlac known for its predominantly agricultural economy and rural communities.
-
B.
Carlos Carvajal
Carlos Carvajal is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Carvajal.
-
C.
Ricardo Carvajal
Ricardo Carvajal is an individual notable enough to be specifically cited as a bearer of the surname Carvajal.
-
D.
Hugo Carvajal
Hugo Carvajal is a former Venezuelan military intelligence chief and close ally of Hugo Chávez who later became known internationally for allegations of drug trafficking, corruption, and political intrigue.
-
E.
Ramires
Ramires is a Brazilian former professional footballer best known as a dynamic box-to-box midfielder for Chelsea and the Brazil national team.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414773548190b3311515f9d957dd |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5b989c8190a76612df167ba1dd |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:06 a.m.