Triple
T22992866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rico Santo |
E572098
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rico Santo |
—
|
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: Rico Santo | Statement: [Rico Santo, name, Rico Santo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rico Santo Context triple: [Rico Santo, name, Rico Santo]
-
A.
Rico Santo
chosen
Rico Santo is an individual notable enough to be recognized as a prominent bearer of the surname Santo.
-
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.
Juan Rico
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.
-
D.
Joe Santos
Joe Santos was an American character actor best known for his tough, streetwise roles in film and television, including a prominent part on "The Rockford Files."
-
E.
Tino Santoni
Tino Santoni was an Italian cinematographer known for his work on mid-20th-century Italian films.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f017a88190b02d0649a3af5d99 |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.