Triple
T6988116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis de León |
E162015
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de León |
E122750
|
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: de León | Statement: [Luis de León, familyName, de León]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de León Context triple: [Luis de León, familyName, de León]
-
A.
de León
chosen
De León is a Spanish surname of Sephardic Jewish origin historically associated with notable figures in religious and cultural scholarship.
-
B.
de Luna
De Luna is the noble Aragonese family name of Pope Benedict XIII, reflecting his origins in the medieval Spanish aristocracy.
-
C.
De Leon
De Leon is a surname of Spanish origin commonly borne by individuals and places in Spanish-speaking and former Spanish-colonial regions.
-
D.
Al Olaya
Al Olaya is a prominent commercial and business district in Riyadh, Saudi Arabia, known for its modern skyscrapers, upscale shopping, and major corporate offices.
-
E.
Tristán de Luna y Arellano
Tristán de Luna y Arellano was a 16th-century Spanish conquistador and explorer who led an ill-fated expedition to establish one of the earliest European settlements in what is now the United States.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbbd926c8190a8b60527bd553fa3 |
completed | March 27, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761d3f07081908892cdcac8e0917c |
completed | March 28, 2026, 5:06 a.m. |
Created at: March 27, 2026, 2:32 p.m.