Triple
T15446082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Louisiana at Lafayette |
E370025
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Cayenne |
E161877
|
NE FINISHED |
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: Cayenne | Statement: [University of Louisiana at Lafayette, mascot, Cayenne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cayenne Context triple: [University of Louisiana at Lafayette, mascot, Cayenne]
-
A.
Cayenne
chosen
Cayenne is the principal city and administrative center of French Guiana, located on the Atlantic coast in northeastern South America.
-
B.
Naiche
Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
-
C.
Darien
Darien is a character in the Disney Channel series "K.C. Undercover" who serves as a romantic interest for the teenage spy K.C. Cooper.
-
D.
Darien
Darien is a coastal town in Fairfield County, Connecticut, known for its affluent residential character and location along Long Island Sound.
-
E.
Ventanarosa
Ventanarosa is a film and television production company founded by Salma Hayek, known for producing culturally rich, often Latinx-focused projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef767b4819099f2c0919a158321 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21adb6b88190b573068bda223892 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.