Triple
T18331943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club de la Serpiente |
E439163
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Perico |
—
|
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: Perico | Statement: [Club de la Serpiente, hasMember, Perico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perico Context triple: [Club de la Serpiente, hasMember, Perico]
-
A.
Perico
Perico is a municipality and town located in Matanzas Province in western Cuba.
-
B.
Perico
Perico is the popular nickname of Spanish former professional cyclist Pedro Delgado, a Tour de France and Vuelta a España winner.
-
C.
Perico
Perico is a minor character in Ernest Hemingway's novella "The Old Man and the Sea," known as a young boy who helps the old fisherman Santiago by providing him with newspapers and showing him quiet support.
-
D.
Panchito
Panchito is a lively Mexican rooster character from Disney’s "The Three Caballeros," known for his exuberant personality and sombrero-wearing, gun-slinging antics.
-
E.
G Perico
G Perico is a Los Angeles-based rapper known for his G-funk-influenced West Coast gangsta rap style and vivid street storytelling.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecaf6f48190ae7547cc0f8e6efa |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:36 a.m.