Triple
T5073434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marta Navarro |
E114334
|
entity |
| Predicate | hasNameComponentOrigin |
P31098
|
FINISHED |
| Object | Marta is of Hebrew origin |
E241291
|
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: Marta is of Hebrew origin | Statement: [Marta Navarro, hasNameComponentOrigin, Marta is of Hebrew origin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marta is of Hebrew origin Context triple: [Marta Navarro, hasNameComponentOrigin, Marta is of Hebrew origin]
-
A.
Maria is of Hebrew origin
Maria Paola is a feminine given name that combines the widely used, Hebrew-derived name Maria with the Italian form of Paul, Paola.
-
B.
Marta (Spanish)
chosen
Marta is the Spanish given name equivalent to Martha, commonly used in Spanish-speaking countries.
-
C.
Marta (Polish)
Marta is a common Polish female given name, equivalent to Martha, traditionally associated with Christian and European naming traditions.
-
D.
Marta (Scandinavian languages)
Marta is the Scandinavian form of the female given name Martha, commonly used in countries such as Sweden, Norway, and Denmark.
-
E.
Marta (Czech)
Marta is the Czech form of the female given name Martha, commonly used in Czech-speaking countries.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74cfa4348190bc50590117a6bcf9 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb11600ac81908661759839ebfc98 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.