Triple
T4226449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcelino Oreja |
E94469
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Marcelino |
E94469
|
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: Marcelino | Statement: [Marcelino Oreja, givenName, Marcelino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcelino Context triple: [Marcelino Oreja, givenName, Marcelino]
-
A.
Ramón
Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
B.
Arsenio
Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in Spanish-speaking countries.
-
C.
Ambrosio
Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
-
D.
Antonio Trashorras
Antonio Trashorras is a Spanish screenwriter best known for his work in horror cinema, including co-writing Guillermo del Toro’s acclaimed film "The Devil’s Backbone."
-
E.
Marcelino Oreja
chosen
Marcelino Oreja is a Spanish politician and diplomat who notably served as Secretary General of the Council of Europe and later as a European Commissioner.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e4ed34c819081d1479ce87cd78c |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5ad18e881909950d8f45912fad5 |
completed | March 14, 2026, 11:56 p.m. |
Created at: March 12, 2026, 11:04 p.m.