Triple

T5752772
Position Surface form Disambiguated ID Type / Status
Subject Joe Swanberg E126890 entity
Predicate notableWork P4 FINISHED
Object LOL
LOL is a 2006 American independent mumblecore film directed by Joe Swanberg that explores modern relationships and digital communication.
E544339 NE FINISHED

How this triple was built (4 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. 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.
  • B. LPL
    LPL is the three-letter IATA airport code for Liverpool John Lennon Airport, serving the city of Liverpool in England.
  • C. Riot
    Riot is the first name of Riot Rose Mayers, the daughter of singer Rihanna and rapper A$AP Rocky.
  • D. Smite
    Smite is a third-person multiplayer online battle arena (MOBA) game developed by Hi-Rez Studios in which players control mythological gods and deities in team-based combat.
  • E. Overwatch
    Overwatch is a team-based multiplayer first-person shooter video game franchise known for its diverse cast of heroes, objective-focused gameplay, and vibrant, character-driven world.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LOL
Triple: [Joe Swanberg, notableWork, LOL]
Generated description
LOL is a 2006 American independent mumblecore film directed by Joe Swanberg that explores modern relationships and digital communication.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LOL
Target entity description: LOL is a 2006 American independent mumblecore film directed by Joe Swanberg that explores modern relationships and digital communication.
  • A. League of Legends
    League of Legends is a popular multiplayer online battle arena (MOBA) video game developed by Riot Games, known for its competitive esports scene and strategic team-based gameplay.
  • B. LPL
    LPL is the three-letter IATA airport code for Liverpool John Lennon Airport, serving the city of Liverpool in England.
  • C. Riot
    Riot is the first name of Riot Rose Mayers, the daughter of singer Rihanna and rapper A$AP Rocky.
  • D. Smite
    Smite is a third-person multiplayer online battle arena (MOBA) game developed by Hi-Rez Studios in which players control mythological gods and deities in team-based combat.
  • E. Overwatch
    Overwatch is a team-based multiplayer first-person shooter video game franchise known for its diverse cast of heroes, objective-focused gameplay, and vibrant, character-driven world.
  • F. None of above. chosen

Provenance (5 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288b580c81909e1289982b106695 completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e3e71988190a938a6d175023028 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08cf206188190a4e5bb2649d97be9 completed March 23, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69c08dc4d12c8190a7a245d583ef08d4 completed March 23, 2026, 12:48 a.m.
Created at: March 22, 2026, 3:48 p.m.