Triple
T5551559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael |
E145536
|
entity |
| Predicate | hasScriptForm |
P5713
|
FINISHED |
| Object | Rafael (Latin script) |
E145536
|
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: Rafael (Latin script) | Statement: [Rafael, hasScriptForm, Rafael (Latin script)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafael (Latin script) Context triple: [Rafael, hasScriptForm, Rafael (Latin script)]
-
A.
Rafha
Rafha is a town in northern Saudi Arabia near the Iraqi border, known historically as a stop along regional trade and pilgrimage routes.
-
B.
Rafael
chosen
Rafael is a masculine given name of Hebrew origin, commonly used in Spanish, Portuguese, and other languages, meaning "God has healed."
-
C.
Ramallo
Ramallo is a town in Buenos Aires Province, Argentina, known as the birthplace of acclaimed actor Federico Luppi.
-
D.
Rubén
Rubén is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
E.
Blasco
Blasco is a masculine given name of Spanish origin, historically borne by notable figures such as colonial administrators and writers.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe3e7788190aa5361b083197c17 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c028350bc08190a8b48893157b86a1 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:35 p.m.