Triple
T1157167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felipe VI |
E24408
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Felipe |
E146584
|
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: Felipe | Statement: [Felipe VI, givenName, Felipe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felipe Context triple: [Felipe VI, givenName, Felipe]
-
A.
Felipe de Neve
Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
-
B.
Felipe Juan Pablo Alfonso de Todos los Santos de Borbón y de Grecia
chosen
Felipe Juan Pablo Alfonso de Todos los Santos de Borbón y de Grecia is the current King of Spain, reigning as Felipe VI since 2014.
-
C.
Luís
Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
-
D.
Francisco
Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
-
E.
Nicolás
Nicolás is a masculine given name of Greek origin, commonly used in Spanish-speaking countries and derived from the name Nicholas, meaning "victory of the people."
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc92ae008190a587c12ecc9a502a |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd46d2f748190997c662f7c29e990 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:44 p.m.