Triple

T11785967
Position Surface form Disambiguated ID Type / Status
Subject Maurice LaMarche E280269 entity
Predicate voiceRole P12691 FINISHED
Object Lrrr
Lrrr is the blustery, warlike ruler of the planet Omicron Persei 8 from the animated television series Futurama.
 E946409 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: Lrrr | Statement: [Maurice LaMarche, voiceRole, Lrrr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lrrr
Context triple: [Maurice LaMarche, voiceRole, Lrrr]
  • A. RRL
    RRL is a Ralph Lauren sub-brand inspired by vintage Americana and rugged workwear, offering heritage-style clothing and accessories with a focus on craftsmanship and authenticity.
  • B. LARAS
    LARAS is the acronym for the Latin Recording Academy, the organization best known for presenting the Latin Grammy Awards and promoting Latin music and its creators worldwide.
  • C. LER
    LER is the vehicle registration code assigned to the German island municipality of Borkum.
  • D. Lala
    Lala is a small town in the Hailakandi district of the Indian state of Assam.
  • E. Lala
    Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
  • 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: Lrrr
Triple: [Maurice LaMarche, voiceRole, Lrrr]
Generated description
Lrrr is the blustery, warlike ruler of the planet Omicron Persei 8 from the animated television series Futurama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lrrr
Target entity description: Lrrr is the blustery, warlike ruler of the planet Omicron Persei 8 from the animated television series Futurama.
  • A. RRL
    RRL is a Ralph Lauren sub-brand inspired by vintage Americana and rugged workwear, offering heritage-style clothing and accessories with a focus on craftsmanship and authenticity.
  • B. LARAS
    LARAS is the acronym for the Latin Recording Academy, the organization best known for presenting the Latin Grammy Awards and promoting Latin music and its creators worldwide.
  • C. LER
    LER is the vehicle registration code assigned to the German island municipality of Borkum.
  • D. Lala
    Lala is a small town in the Hailakandi district of the Indian state of Assam.
  • E. Lala
    Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a585795c8190aa8a5edf0d99b47f completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090d861f481909b920197a3d60e28 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd3f39608190b29027b30664bd9c completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef5afd448190953b5d9929478132 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.