Triple
T19408151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Luis |
E485516
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Luis |
—
|
NE NERFINISHED |
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: Luis | Statement: [Juan Luis, hasComponent, Luis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luis Context triple: [Juan Luis, hasComponent, Luis]
-
A.
Luis
Luis de Velasco y Aragón was a Spanish nobleman and colonial administrator who served as Viceroy of New Spain and later of Peru in the late 17th and early 18th centuries.
-
B.
Luis
chosen
Luis is a common Spanish given name derived from the Germanic name Ludwig, widely used across Spanish-speaking countries.
-
C.
Luis
Luis is a friendly human character on Sesame Street who often interacts warmly with Big Bird and the other residents of the neighborhood.
-
D.
Luis
Luis is the given name of Luis Carrero Blanco, a prominent Spanish admiral and statesman who served as Prime Minister under Francisco Franco.
-
E.
Luis
Luis is the given name of Luis de Unzaga y Amézaga, an 18th-century Spanish colonial administrator and governor in North America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af331108190b6b25ef8f386826e |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:36 p.m.