Triple

T15584165
Position Surface form Disambiguated ID Type / Status
Subject Louis Székely E374574 entity
Predicate created P538 FINISHED
Object Louie E158984 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: [Louis Székely, created, Louie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louie
Context triple: [Louis Székely, created, Louie]
  • A. Louie chosen
    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
    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 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 a masculine given name, often used as a diminutive of Louis.
  • E. 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.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e47971481909e986dd999354628 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c5baac819099d53896f6a35d94 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:11 a.m.