Triple
T23510296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rico Badenschier |
E572400
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | 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: Rico | Statement: [Rico Badenschier, givenName, Rico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rico Context triple: [Rico Badenschier, givenName, Rico]
-
A.
Rico
Rico is a character from the comedy film "Hot Rod," known as one of Rod Kimble’s eccentric stunt-team friends.
-
B.
Rico
Rico is the nickname of Rico Petrocelli, a former Major League Baseball shortstop and third baseman best known for his career with the Boston Red Sox in the 1960s and 1970s.
-
C.
Rico
Rico is the crazed, explosives-loving penguin from the animated franchise "Penguins of Madagascar," known for regurgitating tools and weapons on command.
-
D.
Rico
Rico is a small historic mining town in southwestern Colorado, known for its scenic location in the San Juan Mountains.
-
E.
Rico
chosen
Rico is a masculine given name of Spanish and Italian origin, often used as a short form of names like Ricardo or Enrico.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a90455f0819092b37c69d7e73c43 |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:07 p.m.