Triple
T9522272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parker Posey |
E229670
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Louie |
E345560
|
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: [Parker Posey, notableWork, Louie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louie Context triple: [Parker Posey, notableWork, Louie]
-
A.
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.
-
B.
Louie
chosen
Louie is an American dark comedy television series created by and starring Louis C.K., known for its blend of stand-up, surreal vignettes, and semi-autobiographical storytelling.
-
C.
Louie
Louie is one of the small service robots featured in the 1972 science fiction film "Silent Running."
-
D.
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.
-
E.
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.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989788e4819086c235bf37a56b04 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a5cd2d881908b27649b396c50a1 |
completed | April 4, 2026, 4:20 p.m. |
Created at: March 30, 2026, 7:59 p.m.