Triple

T22573707
Position Surface form Disambiguated ID Type / Status
Subject Joe Swanberg E544337 entity
Predicate notableWork P4 FINISHED
Object LOL 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: LOL | Statement: [Joe Swanberg, notableWork, LOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LOL
Context triple: [Joe Swanberg, notableWork, LOL]
  • A. LOL chosen
    LOL is a 2006 American independent mumblecore film directed by Joe Swanberg that explores modern relationships and digital communication.
  • B. League of Legends
    League of Legends is a popular multiplayer online battle arena (MOBA) video game developed by Riot Games, known for its competitive esports scene and strategic team-based gameplay.
  • C. Runeterra
    Runeterra is the richly detailed fantasy world that serves as the backdrop for the lore, champions, and stories of the League of Legends universe.
  • D. Moonton
    Moonton is a Chinese video game developer best known for creating the popular mobile multiplayer online battle arena game Mobile Legends: Bang Bang.
  • E. LPL
    LPL is the New York Stock Exchange ticker symbol for LG Display, a major South Korean manufacturer of display panels for TVs, monitors, and mobile devices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fea683c81908fbf9f171eed3341 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.