Triple
T15611596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louie Pérez |
E375306
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Louie |
E762275
|
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: Louie | Statement: [Louie Pérez, givenName, Louie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louie Context triple: [Louie Pérez, givenName, Louie]
-
A.
Louie
Louie is the cartoonish green furry mascot of the Bowie Baysox minor league baseball team, known for entertaining fans with on-field antics and crowd interaction.
-
B.
Louie
Louie is the furry blue polar bear mascot of the NHL’s St. Louis Blues, known for entertaining fans at games and team events.
-
C.
Louie
Louie is a recurring character in the Pikmin video game series, known as Captain Olimar’s often hapless partner whose actions frequently trigger the games’ central crises.
-
D.
Louie
Louie is the nickname of Louie Dampier, a Hall of Fame American basketball guard best known for his stellar career in the ABA with the Kentucky Colonels.
-
E.
Louie
chosen
Louie is a masculine given name, often used as a diminutive of Louis.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8148a0819087d6d69cc84487ca |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678821a481908378db1ffc76ba05 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:13 a.m.