Triple

T20148581
Position Surface form Disambiguated ID Type / Status
Subject Strange Clouds E491372 entity
Predicate featuresArtist P1952 FINISHED
Object Lauriana Mae
Lauriana Mae is an American singer-songwriter known for her soulful, jazz- and R&B-influenced vocals and collaborations in contemporary pop and hip-hop music.
E1415111 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: Lauriana Mae | Statement: [Strange Clouds, featuresArtist, Lauriana Mae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauriana Mae
Context triple: [Strange Clouds, featuresArtist, Lauriana Mae]
  • A. Lana
    Lana is a river in Albania that flows through the capital city of Tirana before joining the Tirana River.
  • B. Lana
    Lana is a professional wrestler and television personality best known for her time in WWE, where she appeared prominently as a manager and in-ring performer.
  • C. Lana
    Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
  • D. Lana
    Lana is the ISO 15924 four-letter code used to represent the Tai Tham script in international standards.
  • E. Lana
    Lana is the given name of actress Lana Condor, best known for starring in the "To All the Boys I've Loved Before" film series.
  • 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: Lauriana Mae
Triple: [Strange Clouds, featuresArtist, Lauriana Mae]
Generated description
Lauriana Mae is an American singer-songwriter known for her soulful, jazz- and R&B-influenced vocals and collaborations in contemporary pop and hip-hop music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lauriana Mae
Target entity description: Lauriana Mae is an American singer-songwriter known for her soulful, jazz- and R&B-influenced vocals and collaborations in contemporary pop and hip-hop music.
  • A. Lana
    Lana is the ISO 15924 four-letter code used to represent the Tai Tham script in international standards.
  • B. Lana
    Lana is a river in Albania that flows through the capital city of Tirana before joining the Tirana River.
  • C. Lana
    Lana is a professional wrestler and television personality best known for her time in WWE, where she appeared prominently as a manager and in-ring performer.
  • D. Lana
    Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
  • E. Lana
    Lana is a cheerful, blue-haired sorceress and original playable character introduced in the game Hyrule Warriors.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667a0075c8190a5c4de53a0caa7f6 completed April 20, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08346f7b708190b006704558b25a67 completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a08357acba08190be9fcedf1ea0f19d completed May 16, 2026, 9:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0836a5cfdc81908806d83acd257acd completed May 16, 2026, 9:19 a.m.
Created at: April 11, 2026, 11:33 p.m.