Triple
T19312213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Rico |
E482999
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Juan Rico |
—
|
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: Juan Rico | Statement: [Juan Rico, fullName, Juan Rico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Rico Context triple: [Juan Rico, fullName, Juan Rico]
-
A.
Juan Rico
chosen
Juan Rico is the fictional protagonist of Robert A. Heinlein’s military science fiction novel "Starship Troopers," known for his service in the Mobile Infantry fighting alien arachnids.
-
B.
Rico Diaz
Rico Diaz is a fictional funeral director and co-owner of Fisher & Diaz Funeral Home in the television series "Six Feet Under."
-
C.
Raúl
Raúl is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Silvestre Reyes
Silvestre Reyes is an American politician and former U.S. Representative from Texas who served as chair of the House Intelligence Committee.
-
E.
Armando Diaz
Armando Diaz was an Italian general best known for leading Italy to victory on the Italian Front during World War I, particularly at the Battle of Vittorio Veneto.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604ce5de081909811c49f56ba94bb |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:32 p.m.