Triple
T8978264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramona Isabel Wright |
E214453
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ramona |
E582983
|
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: Ramona | Statement: [Ramona Isabel Wright, givenName, Ramona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramona Context triple: [Ramona Isabel Wright, givenName, Ramona]
-
A.
Ramona
chosen
Ramona is a feminine given name of Spanish origin that has been used internationally in literature, film, and popular culture.
-
B.
Ramona
"Ramona" is a song by the American punk rock band Ramones, featured on their 1977 album *Rocket to Russia*.
-
C.
Sariaya
Sariaya is a historic coastal municipality in the province of Quezon, Philippines, known for its heritage houses, agricultural produce, and beaches along Tayabas Bay.
-
D.
Santa Rita
Santa Rita is a municipality in the Brazilian state of Paraíba, known for its proximity to the state capital João Pessoa and its role in the region’s industrial and economic activities.
-
E.
Santa Rita
Santa Rita is a municipality in the province of Pampanga in the Philippines, known for its agricultural products and traditional local festivals.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a33c8481909125acf4b7f0a919 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc96e7eb48190a3df410b1544b997 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:03 p.m.