Triple

T7927322
Position Surface form Disambiguated ID Type / Status
Subject Code Red E184097 entity
Predicate featuredArtist P997 FINISHED
Object Laiyah
Laiyah is a musical artist known for collaborating as a featured performer on the track "Code Red."
 E700322 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: Laiyah | Statement: [Code Red, featuredArtist, Laiyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laiyah
Context triple: [Code Red, featuredArtist, Laiyah]
  • A. Leyla
    "Leyla" is a novel by German-Turkish author Feridun Zaimoglu that explores themes of migration, identity, and womanhood through the life story of its titular protagonist.
  • B. Salma
    Salma is a feminine given name of Arabic origin, commonly used in various cultures around the world.
  • C. Laiyah Shannon Brown
    Laiyah Shannon Brown is the daughter of American R&B singer Monica and former NBA player Shannon Brown.
  • D. Bilqis
    Bilqis is the traditional name, especially in Islamic tradition, for the Queen of Sheba, a legendary monarch known for her wisdom and encounter with the prophet-king Solomon.
  • E. Mia Sara
    Mia Sara is an American actress best known for her role as Sloane Peterson in the 1986 teen comedy film "Ferris Bueller's Day Off."
  • 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: Laiyah
Triple: [Code Red, featuredArtist, Laiyah]
Generated description
Laiyah is a musical artist known for collaborating as a featured performer on the track "Code Red."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laiyah
Target entity description: Laiyah is a musical artist known for collaborating as a featured performer on the track "Code Red."
  • A. Leyla
    "Leyla" is a novel by German-Turkish author Feridun Zaimoglu that explores themes of migration, identity, and womanhood through the life story of its titular protagonist.
  • B. Salma
    Salma is a feminine given name of Arabic origin, commonly used in various cultures around the world.
  • C. Laiyah Shannon Brown
    Laiyah Shannon Brown is the daughter of American R&B singer Monica and former NBA player Shannon Brown.
  • D. Bilqis
    Bilqis is the traditional name, especially in Islamic tradition, for the Queen of Sheba, a legendary monarch known for her wisdom and encounter with the prophet-king Solomon.
  • E. Mia Sara
    Mia Sara is an American actress best known for her role as Sloane Peterson in the 1986 teen comedy film "Ferris Bueller's Day Off."
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aafdb5c8190b7f2ce5349305f78 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bfd08e88190bc6b2d77a148ae57 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb7633c5a0819089deb6e89d9acb8e completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb84dc86c8190893d67ce07c51aa0 completed March 31, 2026, 12:04 p.m.
Created at: March 30, 2026, 5:07 p.m.